Robust Adaptive Pulse Compression Algorithm Based on Reiterative Linearly Constrained Minimum Variance

Li Xiu-you; Dong Yun-long; Huang Yong; Guan Jian

doi:10.11999/JEIT141631

Volume 37 Issue 10

Sep. 2015

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Article Navigation > Journal of Electronics & Information Technology > 2015 > 37(10): 2300-2306

Li Xiu-you, Dong Yun-long, Huang Yong, Guan Jian. Robust Adaptive Pulse Compression Algorithm Based on Reiterative Linearly Constrained Minimum Variance[J]. Journal of Electronics & Information Technology, 2015, 37(10): 2300-2306. doi: 10.11999/JEIT141631

Citation:

Li Xiu-you, Dong Yun-long, Huang Yong, Guan Jian. Robust Adaptive Pulse Compression Algorithm Based on Reiterative Linearly Constrained Minimum Variance[J]. Journal of Electronics & Information Technology, 2015, 37(10): 2300-2306. doi: 10.11999/JEIT141631

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Robust Adaptive Pulse Compression Algorithm Based on Reiterative Linearly Constrained Minimum Variance

doi: 10.11999/JEIT141631

Funds:

The National Natural Science Foundation of China (61002045, 61179017, 61102167)

Received Date: 2014-12-20
Rev Recd Date: 2015-06-01
Publish Date: 2015-10-19

Abstract

Abstract

In order to solve the problem of range side-lobes suppression performance degradation due to error between scatter and sample center of tradition methods, a new adaptive pulse compression algorithm based on Reiterative Linearly Constrained Minimum Variance (RLCMV) is presented in this paper. Firstly, adaptive beamformer is introduced into adaptive pulse compression. Then, linearly constraint is forced on range bins of target and interference, and diagonal loading techniques are applied. Finally, reiterative method is presented to suppress the side-lobe of target in range of different Radar Cross Section (RCS). Simulation results show that this algorithm can effectively suppress side-lobes of scatters random distributed in range bin, and it is robust to error between scatters and sample center. It keeps excellent performance even in multi-targets and range- extended target scenario, and improves performance of high Doppler target to a certain extend.
- Radar signal processing,
- Pulse compression,
- Side-lobes suppression,
- Linear constrain,
- Doppler performance

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References(24)

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