Compressive Sensing
Radar Signal Processing
Khaled Hussein1 and F.
Abd-Alkader2
1DSP Division,
Military Technical College, Egypt
2Radar Division,
Military Technical College, Egypt
Abstract
This paper presents the application of Compressive
Sensing (CS) theory in radar signal processing. CS uses the sparsity property
to reduce the number of measurements needed for digital acquisition, which
causes reduction in the size, weight, power consumption, and the cost of the CS
radar receiver. Complex Approximate Message Passing (CAMP) algorithm is a fast
iterative thresholding algorithm which is used to reconstruct the undersampled
sparse radar signal, and to improve the Signal-to-Noise Ratio (SNR) of the
radar signal [12- 16]. The superiority of applying the CAMP algorithm in radar
signal processing compared to the Digital Matched Filter (DMF), and the simple
envelope detector is proved through the Receiver Operating characteristic (ROC)
curves. On the other hands, complexity and time of calculation are critical
issues which must be considered.
Keywords: Compressive Sensing, CAMP algorithm, Radar.
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