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Proceedings Paper

Analysis of the tolerance of compressive noise radar systems to multiplicative perturbations
Author(s): Mahesh C. Shastry; Ram M. Narayanan; Muralidhar Rangaswamy
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Paper Abstract

Compressive noise radar imaging involves the inversion of a linear system using l1-based sparsity constraints. This linear system is characterized by the circulant system matrix generated by the transmit waveform. The imaging problem is solved using convex optimization. The characterization of imaging performance in the presence of additive noise and other random perturbations remains an important open problem. Computational studies designed to be generalizable suggest that uncertainties related to multiplicative noise adversely affect detection performance. Multiplicative noise occurs when the recorded transmit waveform is an inaccurate version of the actual transmitted signal. The actual transmit signal leaving the antenna is treated as the signal. If the recorded version is considered as a noisy version of this signal, then, generalizable numerical experiments show that the signal to noise ratio of the recorded signal should be greater than about 35 dB for accurate signal recovery.

Paper Details

Date Published: 23 May 2014
PDF: 8 pages
Proc. SPIE 9109, Compressive Sensing III, 910905 (23 May 2014); doi: 10.1117/12.2053116
Show Author Affiliations
Mahesh C. Shastry, 3M Co. (United States)
Ram M. Narayanan, The Pennsylvania State Univ. (United States)
Muralidhar Rangaswamy, Air Force Research Lab. (United States)


Published in SPIE Proceedings Vol. 9109:
Compressive Sensing III
Fauzia Ahmad, Editor(s)

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