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E. Fisher, A. Haimovich, R. Blum, L. Cimini, D. Chizhik, and R. Valenzuela, “Spatial diversity in radars—models and detec-tion performance,” IEEE Transactions on Signal Processing, Vol. 20, No. 3, pp. 823–838, March 2006.

has been cited by the following article:

• TITLE: High Resolution MIMO-HFSWR Radar Using Sparse Frequency Waveforms

  AUTHORS: Guohua WANG, Yilong LU

  KEYWORDS: MIMO, HFSWR, Radar, Sparse Frequency Waveform

  JOURNAL NAME: Wireless Sensor Network, Vol.1 No.3, October 15, 2009

  ABSTRACT: In high frequency surface wave radar (HFSWR) applications, range and azimuth resolutions are usually lim-ited by the bandwidth of waveforms and the physical dimension of the radar aperture, respectively. In this paper, we propose a concept of multiple-input multiple-output (MIMO) HFSWR system with widely sepa-rated antennas transmitting and receiving sparse frequency waveforms. The proposed system can overcome the conventional limitation on resolutions and obtain high resolution capability through this new configura-tion. Ambiguity function (AF) is derived in detail to evaluate the basic resolution performance of this pro-posed system. The advantages of the system of fine resolution and low peak sidelobe level (PSL) are demon-strated by the AF analysis through numerical simulations. The impacts of Doppler effect and the geometry configuration are also studied.