29 August 2016 Imaging method for spinning targets based on Bayesian compressive sensing
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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, Jidong Meng, She Shang, 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); doi: 10.1117/12.2244563; https://doi.org/10.1117/12.2244563
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