<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">JCC</journal-id><journal-title-group><journal-title>Journal of Computer and Communications</journal-title></journal-title-group><issn pub-type="epub">2327-5219</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/jcc.2016.43018</article-id><article-id pub-id-type="publisher-id">JCC-64153</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Computer Science&amp;Communications</subject></subj-group></article-categories><title-group><article-title>
 
 
  Time-Frequency System Builds and Timing Strategy Research of VHF Band Antenna Array
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Junqing</surname><given-names>Liu</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Liang</surname><given-names>Dong</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Min</surname><given-names>Wang</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Shaojie</surname><given-names>Guo</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Yunnan Astronomical Observatories, Chinese Academy of Sciences, Kunming, China</addr-line></aff><pub-date pub-type="epub"><day>02</day><month>03</month><year>2016</year></pub-date><volume>04</volume><issue>03</issue><fpage>116</fpage><lpage>125</lpage><history><date date-type="received"><day>20</day>	<month>January</month>	<year>2016</year></date><date date-type="rev-recd"><day>accepted</day>	<month>26</month>	<year>February</year>	</date><date date-type="accepted"><day>2</day>	<month>March</month>	<year>2016</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
   VHF (Very High Frequency) band antenna array will receive analog signal from universe for storage after digital sampling and adding time scale, and then do the interference analysis of different sub-station digital signal. It requires the time-frequency system with high precision and low drifting. This paper explains a time-frequency system of VHF band antenna, which can produce standard 10 MHz signal and clock signal needed by sampler, to ensure that two computers which sampling data has the same system time and the storage data has the accurate time scale, the system includes time comparison programme based on the GPS network timing two different sampling control computers. Timing strategy uses a time comparison software which based on the Labview graphical programming platform. This software captures the system time of two computers to analyze and determine the time deviation when the two computers occurs time offset, and then grant the GPS time of NTP server to the two computers through local area network in this time deviation. Final results show that this method can automatically calibrate the system time of the computers in the LAN, Precision Can Reach 0.1 s Orless. 
 
</p></abstract><kwd-group><kwd>Antenna Array</kwd><kwd> GPS</kwd><kwd> Network Timing</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>The VHF band antenna introduced in this study is used in receiving analog signal from universe for astro observation. It contains a wealth of information about radio burst of sun and planets in VHF band below 80 MHz [<xref ref-type="bibr" rid="scirp.64153-ref1">1</xref>]. For the radio observation of celestial body out of solar system, VHF band is not a simple extrapolation of radio bands which we have used, and it is an important observation band because we haven’t explored universe in this band. Many astronomical phenomena are observable only in VHF band, and already anticipated scientific exploration include: the CME and radio burst of the sun [<xref ref-type="bibr" rid="scirp.64153-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.64153-ref3">3</xref>], pulsar emission, AKR emission, the large-scale and high- resolution radio characteristics of Milky Way in HF-VHF band, Galactic HII Distribution Survey, frequency variation characteristics of transient celestial.etc. The rich astronomical phenomena and radiation of VHF band are described in <xref ref-type="fig" rid="fig1">Figure 1</xref>.</p><p>The observed sensitivity and resolution depends on the geometry and total receiving area of antenna array [<xref ref-type="bibr" rid="scirp.64153-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.64153-ref5">5</xref>]. As key technology research, we supposed to build two sub-stations in Yunnan observatories, Chinese Academy of Science and Chenggong campus of Yunnan University, Yunnan, China respectively. In <xref ref-type="fig" rid="fig2">Figure 2</xref>, two sub-stations are 22 km away from each other, each station has 16 antennas and every antenna receives two polarization signals. Forming beam after sampling the received analog signal, and send the digital signals from sub-stations to process center. The antenna can form multi-beam to observe different radio sources.</p><p>Antenna array consists of 32 antennas, the sampling rate is 200 MSPS (Million Samples Per Second) and every sample has 12 bits. It will obtain a huge amount of data if every antenna captures signal from two polarization direction. To avoid this situation, four antennas form a Tile as <xref ref-type="fig" rid="fig3">Figure 3</xref>. As the experience of LOFAR (Low-Frequency Array), LBA (Low frequency Band Antenna) and VLA [<xref ref-type="bibr" rid="scirp.64153-ref6">6</xref>] (Very Large Array), its only need sum the same polarization signals of four antennas and every Tile outputs two polarization signals, and then three-quarters of the data will be reduced. Antenna array arrangement will affect the back-end signal processing, the weight parameter of each antenna is determined according to the trajectory of radio source and antenna array arrangement [<xref ref-type="bibr" rid="scirp.64153-ref7">7</xref>] as <xref ref-type="fig" rid="fig4">Figure 4</xref>.</p><fig-group id="fig1"><label><xref ref-type="fig" rid="fig1">Figure 1</xref></label><caption><title> Radio traffic spectrum of VHF band, left: sun and the galactic, right: major planet.</title></caption><fig id ="fig1_1"><label></label><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/64153x4.png"/></fig><fig id ="fig1_2"><label></label><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/64153x5.png"/></fig></fig-group><fig id="fig2"  position="float"><label><xref ref-type="fig" rid="fig2">Figure 2</xref></label><caption><title> Two sub-stations away from 22 kilometers</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/64153x6.png"/></fig><fig id="fig3"  position="float"><label><xref ref-type="fig" rid="fig3">Figure 3</xref></label><caption><title> Spatial arrangement of a tile</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/64153x7.png"/></fig><fig id="fig4"  position="float"><label><xref ref-type="fig" rid="fig4">Figure 4</xref></label><caption><title> Schematic diagram of sub-array signal synthesis</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/64153x8.png"/></fig></sec><sec id="s2"><title>2. Data Reception and Acquisition System</title><p>The signals received by antennas will be filtered and amplified and then they are transmitted to the data acquisition board (AD6657). AD6657 has 200MPSP sample rate and four channel AD convertors, it connect with the FPGA signal processing board (HSC-ADC-EVALCZ).</p><p><xref ref-type="fig" rid="fig5">Figure 5</xref> describes the work pattern of AD6657 and HSC-ADC-EVALCZ. The analog signals received by antennas are transmitted to the AD6657 through four channel AD convertors [<xref ref-type="bibr" rid="scirp.64153-ref8">8</xref>], 200 MHz clock signal will be induced into the board at the same time and the analog signal will be converted to digital signal to transmitted to the HSC-ADC-EVALCZ board [<xref ref-type="bibr" rid="scirp.64153-ref9">9</xref>]. HSC-ADC-EVALCZ connect computer through port USB2.0 and the corresponding software VisualAnalog can be used to compute data (FFT, integral etc.) and control data capture.</p></sec><sec id="s3"><title>3. Time-Frequency System of the Antenna array</title><p>Time-frequency system is an important part of sub-stations and it provides reference frequency and time. <xref ref-type="fig" rid="fig6">Figure 6</xref></p><fig id="fig5"  position="float"><label><xref ref-type="fig" rid="fig5">Figure 5</xref></label><caption><title> The acquisition system’s block diagram</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/64153x9.png"/></fig><fig id="fig6"  position="float"><label><xref ref-type="fig" rid="fig6">Figure 6</xref></label><caption><title> The time-frequency system architecture</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/64153x10.png"/></fig><p>is the architecture of time-frequency system. Its functions mainly in the following aspects:</p><p>1) NTP server provides reference time to computer which control data sampling.</p><p>2) GPSDO generates a 10 MHz signal and converted to 200 MHz by PLL, as a precise external clock signal of AD6657.</p><p>As the clock signal of AD6657, it is required the phase errors caused by frequency instability less than 1 rad [<xref ref-type="bibr" rid="scirp.64153-ref10">10</xref>]. If σ<sub>v</sub> is the Allan deviation of clock signal, and there is a equation:</p><disp-formula id="scirp.64153-formula121"><graphic  xlink:href="http://html.scirp.org/file/64153x11.png"  xlink:type="simple"/></disp-formula><p>f is 60 MHz which is the center frequency the antenna array work on, τ is integration time. If τ = 1 s, it’s need; σ<sub>v</sub> ≤ 2.65 &#215; 10<sup>−9</sup>; if τ = 100 s, it’s need σ<sub>v</sub> ≤ 2.65 &#215; 10<sup>−11</sup>. The Allan deviation of the clock signal generated by GPSDO we used as <xref ref-type="fig" rid="fig7">Figure 7</xref> and <xref ref-type="table" rid="table1">Table 1</xref>.</p><p>According to the allan deviation provided by <xref ref-type="table" rid="table1">Table 1</xref>, it is meet the need of observation when τ = 800 s.</p><fig id="fig7"  position="float"><label><xref ref-type="fig" rid="fig7">Figure 7</xref></label><caption><title> The variation trend of Allan Deviation</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/64153x12.png"/></fig><table-wrap-group id="1"><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> The comparison between measured σ<sub>y</sub> and needed σ<sub>v.</sub></title></caption><table-wrap id="1_1"><table><tbody><thead><tr><th align="center" valign="middle" >Time (second)</th><th align="center" valign="middle" >1</th><th align="center" valign="middle" >2</th><th align="center" valign="middle" >4</th><th align="center" valign="middle" >8</th><th align="center" valign="middle" >10</th><th align="center" valign="middle" >20</th><th align="center" valign="middle" >40</th><th align="center" valign="middle" >80</th></tr></thead><tr><td align="center" valign="middle" >The measured σ<sub>v</sub></td><td align="center" valign="middle" >2.87E−11</td><td align="center" valign="middle" >1.95E−11</td><td align="center" valign="middle" >1.43E−11</td><td align="center" valign="middle" >1.01E−11</td><td align="center" valign="middle" >8.12E−12</td><td align="center" valign="middle" >7.17E−12</td><td align="center" valign="middle" >5.73E−12</td><td align="center" valign="middle" >4.99E−12</td></tr><tr><td align="center" valign="middle" >The needed σ<sub>v</sub></td><td align="center" valign="middle" >2.65E−9</td><td align="center" valign="middle" >1.32E−9</td><td align="center" valign="middle" >6.63E−10</td><td align="center" valign="middle" >3.31E−10</td><td align="center" valign="middle" >2.65E−10</td><td align="center" valign="middle" >1.32E−10</td><td align="center" valign="middle" >6.63E−11</td><td align="center" valign="middle" >3.31E−11</td></tr></tbody></table></table-wrap><table-wrap id="1_2"><table><tbody><thead><tr><th align="center" valign="middle" >Time (second)</th><th align="center" valign="middle" >100</th><th align="center" valign="middle" >200</th><th align="center" valign="middle" >400</th><th align="center" valign="middle" >800</th><th align="center" valign="middle" >1000</th><th align="center" valign="middle" >2000</th><th align="center" valign="middle" >4000</th></tr></thead><tr><td align="center" valign="middle" >The measured σ<sub>v</sub></td><td align="center" valign="middle" >4.85E−12</td><td align="center" valign="middle" >5.00E−12</td><td align="center" valign="middle" >6.10E−12</td><td align="center" valign="middle" >8.22E−12</td><td align="center" valign="middle" >9.30E−12</td><td align="center" valign="middle" >1.41E−11</td><td align="center" valign="middle" >1.99E−11</td></tr><tr><td align="center" valign="middle" >The needed σ<sub>v</sub></td><td align="center" valign="middle" >2.65E−11</td><td align="center" valign="middle" >1.32E−11</td><td align="center" valign="middle" >6.63E−12</td><td align="center" valign="middle" >3.31E−12</td><td align="center" valign="middle" >2.65E−12</td><td align="center" valign="middle" >1.32E−12</td><td align="center" valign="middle" >6.63E−13</td></tr></tbody></table></table-wrap></table-wrap-group><p>GPSDO also provides a second pulse signal and synchronization signal for ADC chip.</p></sec><sec id="s4"><title>4. GPS Timing Strategy</title><p>To ensure that interference signals from different sub-stations are received at the same time the signal will be added time scale using computer’s system time. So system time of computers in different sub-stations must be consistent. The GPS timing network receives GPS signal and grant GPS time to computers through LAN.</p><sec id="s4_1"><title>4.1. GPS Timing Network</title><p>GPS timing network consists of GPS antenna, NTP (Network Time Protocol) server, router and computers which need GPS time as <xref ref-type="fig" rid="fig8">Figure 8</xref>.</p><p>GPS antenna receives GPS signal and transmit it to NTP server. NTP server will generate standard time according to NTP time protocol and grant the time to computers through router.</p></sec><sec id="s4_2"><title>4.2. GPS Timing Interval Determined</title><p>There are two parameters can be set on the bottom of the client interface of NTP server as <xref ref-type="fig" rid="fig9">Figure 9</xref>. The parameter on left side is IP address of NTP server. To ensure NTP server grant GPS time to computers in LAN successfully, computers must in the same IP address segment with NTP server. The parameter on the right side is</p><fig id="fig8"  position="float"><label><xref ref-type="fig" rid="fig8">Figure 8</xref></label><caption><title> Timing network of GPS</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/64153x13.png"/></fig><fig id="fig9"  position="float"><label><xref ref-type="fig" rid="fig9">Figure 9</xref></label><caption><title> The client interface of NTP server</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/64153x14.png"/></fig><p>synchronization interval (minute), it determines the frequency of NTP server grants GPS time to computers. The system time of computers occurs deviation in different time because of variety of computer hardware and usage situations etc. In order to maximize the use of resource, it is necessary to find a way to determine the time of computer system time deviation occurs.</p><p>It is convenient to get and store two computers’ system time (the following is called “computer A” and “computer B” and they can be considered as in two sub-stations) through programming in LabVIEW (graphical programming platform). The two computers transmit their system time to the third computer (computer C) and the time of system time deviation occurs will be find after analyzing the system time data which stored in computer C.</p><p>The task of program in computer A and B is obtain system time and transmit the data to computer C, the program is in <xref ref-type="fig" rid="fig1">Figure 1</xref>0. The task of program in computer C is receive and store the computer system time data come from computer A and B. The program is in Figures 11-13 are program flow chart of program in computer A, B and C respectively.</p><fig id="fig10"  position="float"><label><xref ref-type="fig" rid="fig1">Figure 1</xref>0</label><caption><title> The program in computer A and B</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/64153x15.png"/></fig><fig id="fig11"  position="float"><label><xref ref-type="fig" rid="fig1">Figure 1</xref>1</label><caption><title> The program in computer C</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/64153x16.png"/></fig><p><xref ref-type="fig" rid="fig1">Figure 1</xref>4 is the interface of program in computer C. The “current time” is the system time of computer C, the “system time of computer A” and “system time of computer B” are the system time data transmitted from computer A and B respectively. There are two parameters can be set on the program interface. The “acquisition time (s)” is the time span of computer C obtains system time from computer A and B; the “sampling duration (ms)” is the time interval of computer C receives two adjacent data. If the “acquisition time (s)” is 7200 and “sampling duration (ms)” is 1000 as set in the <xref ref-type="fig" rid="fig1">Figure 1</xref>4 means computer C will receives one system time data per second from computer A and B respectively, and the program will stop automatically 7200 seconds later. So computer C will receive 7200 system time data from computer A and B respectively in this situation and the next step is analyzing these data to find the time of computers’ system time deviation occurs.</p></sec></sec><sec id="s5"><title>5. Experiment and Conclusions</title><p>Before the experiment started, all computers and NTP server form a local area network to ensure data can be transmit around all equipments. Firstly NTP server grants the GPS time to computer A and B to make sure system time of the two computers are same at the beginning. The parameters of “acquisition time (s)” and “sampling duration (ms)” are set to 6874 and 1000 respectively. Computer A and B send one system time data per second to computer C and the program will stop 6874 seconds later. After computer C has obtained all system time data of computer A and B, make system time data of computer A minus system time data of computer B,</p><fig id="fig12"  position="float"><label><xref ref-type="fig" rid="fig1">Figure 1</xref>2</label><caption><title> Program flow chart of computer A and B</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/64153x17.png"/></fig><fig id="fig13"  position="float"><label><xref ref-type="fig" rid="fig1">Figure 1</xref>3</label><caption><title> Program flow chart of computer C</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/64153x18.png"/></fig><p>and the variation trend of the deviation between system time of the two computers can be graphed through linear fit as <xref ref-type="fig" rid="fig1">Figure 1</xref>5. It can be found that the deviation of the two computers’ system time is zero at beginning, but it grows linearly with time flows. At the second of 4292, the deviation grows to nearly 0.1 s. To maintain the deviation of the two computers’ system time within 0.1 s (it satisfies the demand of observation using the antenna array), NTP server should grant GPS time to the two computers within every 4292 seconds.</p><p>To verify the effectiveness of this method, another experiment was performed. The parameter “synchronization interval (minute)” of NTP server was set to 60 (3600 s) to ensure the resource of all system were not wasted. The variation trend of the two computers’ time deviation is described as <xref ref-type="fig" rid="fig1">Figure 1</xref>6, and it can be found the deviation always within 0.1 s. The time-frequency system and timing strategy proposed by this paper are used in the antenna array which has two sub-stations, and it is worthy to mention that the method also effective when the antenna array expanded to several sub-stations more than two.</p><fig id="fig14"  position="float"><label><xref ref-type="fig" rid="fig1">Figure 1</xref>4</label><caption><title> The interface of program in computer C</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/64153x19.png"/></fig><fig id="fig15"  position="float"><label><xref ref-type="fig" rid="fig1">Figure 1</xref>5</label><caption><title> Variation trend of two computers’ time deviation before timing</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/64153x20.png"/></fig><fig id="fig16"  position="float"><label><xref ref-type="fig" rid="fig1">Figure 1</xref>6</label><caption><title> Variation trend of two computers’ time deviation after timing</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/64153x21.png"/></fig></sec><sec id="s6"><title>Acknowledgements</title><p>This work is sponsored by Youth Fund of National Natural Science Foundation of China (11303094), National Natural Science Foundation Astronomy joint fund of China (U1431113), applied basic research program and project of Yunnan province of China (2015FB189) and Western Light A class talent program of China.</p></sec><sec id="s7"><title>Cite this paper</title><p>Junqing Liu,Liang Dong,Min Wang,Shaojie Guo, (2016) Time-Frequency System Builds and Timing Strategy Research of VHF Band Antenna Array. 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