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Parameters selection of FBLMS algorithm for noise FM-CW radar

  • Beijing Institute of Technology

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

The direct wave and clutter wave cancellation is a key procedure for noise FM-CW (frequency-modulated continuous-wave) radar. Frequency-domain Block LMS (FBLMS) adaptive filters have better performance of clutter (include the direct wave) cancellation in low computational complex. In practical system, however, the chosen of step-size and the tap length of FBLMS are extremely important for the subsequent target detection. Although, the step-size bounds of FBLMS have been derived and presented by different expressions, the drawbacks of them as follows: on the one hand, the step-size bound are usually complex expressions including eigenvalues which are related with the covariance matrix of the input signal, it has high computational complexity to calculate the step-size; on the other hand, the relationship between step-size bound, the tap length of FBLMS and clutter attenuation (CA) has been not discussed comprehensively. To address above-mentions, in this paper, the step-size bound is re-derived based on Feuer's work. Furthermore, the relationship between the step-size, the tap length and CA is elaborated, it shows that the CA is dominated by the tap length of FBLMS, once the tap length is not less than the number of clutter path, the CA will be decreased as the step-size increases. In addition, the relationship is intuitively shown by three-dimensional plot. Numerical results show that the parameters selection of FBLMS is beneficial to implement in the system of noise FM-CW radar.

源语言英语
主期刊名ICSP 2014 - 2014 IEEE 12th International Conference on Signal Processing, Proceedings
编辑Baozong Yuan, Qiuqi Ruan, Xiaofang Tang
出版商Institute of Electrical and Electronics Engineers Inc.
215-220
页数6
版本October
ISBN(电子版)9781479921881
DOI
出版状态已出版 - 2014
已对外发布
活动12th IEEE International Conference on Signal Processing, ICSP 2014 - Hangzhou, 中国
期限: 19 10月 201423 10月 2014

丛书

姓名International Conference on Signal Processing Proceedings, ICSP
编号October
2015-January
ISSN(印刷版)2164-5221
ISSN(电子版)2164-523X

会议

会议12th IEEE International Conference on Signal Processing, ICSP 2014
国家/地区中国
Hangzhou
时期19/10/1423/10/14

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