Imaging method for spinning targets based on Bayesian compressive sensing

Jidong Meng; She Shang

doi:10.1117/12.2244563

29 August 2016 Imaging method for spinning targets based on Bayesian compressive sensing

Jidong Meng, She Shang

Proceedings Volume 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016); 1003339 (2016) https://doi.org/10.1117/12.2244563
Event: Eighth International Conference on Digital Image Processing (ICDIP 2016), 2016, Chengu, China

Abstract

Narrow-band radar which emits the signal restricted by bandwidth limitation has a low resolution in range profile so that it usually applies to target detection and tracking. However, the rotating target’s micro-doppler is used to image by Narrow-band radar that provides a new idea for target recognition. Due to the characteristics of narrow-band radar echoes from spinning targets, an imaging method based on Bayesian Compressive Sensing (BCS) is proposed according to the sparsity nature of narrow-band radar echoes from spinning targets. Simulation results show that the proposed approach is able to provide a sharp and sparse image absence of side-lobes which is the common problem in conventional complex-valued back-projection method and has fewer artifacts compared to the previous version of Compressive Sensing (CS) based methods.

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Jidong Meng and She Shang "Imaging method for spinning targets based on Bayesian compressive sensing", Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 1003339 (29 August 2016); https://doi.org/10.1117/12.2244563

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KEYWORDS

Radar

Compressed sensing

Detection and tracking algorithms

Radar imaging

Signal to noise ratio

Expectation maximization algorithms

Target recognition

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