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PIER PIER B PIER C PIER M PIER Letters PIER Photonics
2012-03-07
Compressive Sensing Based Parameter Estimation for Monostatic MIMO Noise Radar
By
Meng Yang,

    Prof. Meng Yang

    School of Communication Engineering

    Hangzhou Dianzi University

    China

    Homepage

Gong Zhang

    Dr. Gong Zhang

    College of Information Science and Technology

    Nanjing University of Aeronautics and Astronautics

    China

    Homepage

Progress In Electromagnetics Research Letters, Vol. 30, 133-143, 2012
doi:10.2528/PIERL12010702 | Google Scholar

Abstract
The novelty of this letter is that it capitalizes on noise waveform to construct measurement operator at the transmitter and presents a new method of how the analogue to digital converter (ADC) sampling rate in the monostatic multiple-input multiple-output (MIMO) noise radar can be reduced --- without reduction in waveform bandwidth --- through the use of compressive sensing (CS). The proposed method equivalently converts the measurement operator problems into radar waveform design problems. The architecture is particularly apropos for signals that are sparse in the target scene. In this letter, Estimates of both target directions and target amplitudes using CS for monostatic MIMO noise radar are presented. Sparse bases are constructed using array steering vectors. Orthogonal least squares (OLS) algorithm for reconstruction of both target directions and target amplitudes is implemented. Finally, the conclusions are all demonstrated by simulation experiments.
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Citation
Meng Yang, and Gong Zhang, "Compressive Sensing Based Parameter Estimation for Monostatic MIMO Noise Radar," Progress In Electromagnetics Research Letters, Vol. 30, 133-143, 2012.
doi:10.2528/PIERL12010702
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