TITLE:
Waveform Design for Cognitive Radar with Deterministic Extended Targets in the Presence of Clutter
AUTHORS:
Vahid Karimi, Reza Mohseni, Yaser Norouzi, Mohammad Javad Dehghani
KEYWORDS:
Signal to Noise Ratio, Mutual Information, Cognitive Radar, Deterministic Extended Target, Clutter
JOURNAL NAME:
International Journal of Communications, Network and System Sciences,
Vol.9 No.6,
June
24,
2016
ABSTRACT: Adjusting radar transmitted waveform to its
environment is one of the most important roles in cognitive radar; having the
capability of updating transmitted waveforms in different applications is a key
point. It has been shown in many studies that if the waveform is designed
according to the target and clutter characteristics, the detection performance
will improve significantly. The uncertainty of the target radar signatures
decreases via maximizing MI and the probability of extended target detection is
increases via maximizing SNR. In this paper, a waveform design approach based
on maximizing both SNR and MI and with regard to target and clutter shape is
presented. The detection performance for proposed waveform is compared with
previous proposed waveforms. The present paper compares different scenarios of
target and clutter and using the probability of detection as a cost function to
investigate the advantages and disadvantages of each waveform in different
scenarios which are mainly discussed in this text. The desired waveform for
cognitive radar is selected based on simultaneously making compromises between
SNR and MI, which plays an important role in cognitive radar systems and based
on the assumption addressed in the text, the best waveform transmitted into the
environment.