Clutter Cancellation Algorithm for Airborne Passive Radar Based on Block RDLMS in Beam Domain

YANG Pengcheng; Lü Xiaode; LIU Yu; CHAI Zhihai; ZHANG Dan

doi:10.11999/JEIT160595

Volume 39 Issue 4

Apr. 2017

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YANG Pengcheng, Lü Xiaode, LIU Yu, CHAI Zhihai, ZHANG Dan. Clutter Cancellation Algorithm for Airborne Passive Radar Based on Block RDLMS in Beam Domain[J]. Journal of Electronics & Information Technology, 2017, 39(4): 960-967. doi: 10.11999/JEIT160595

Citation:

YANG Pengcheng, Lü Xiaode, LIU Yu, CHAI Zhihai, ZHANG Dan. Clutter Cancellation Algorithm for Airborne Passive Radar Based on Block RDLMS in Beam Domain[J]. Journal of Electronics & Information Technology, 2017, 39(4): 960-967. doi: 10.11999/JEIT160595

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Clutter Cancellation Algorithm for Airborne Passive Radar Based on Block RDLMS in Beam Domain

doi: 10.11999/JEIT160595

Received Date: 2016-06-03
Rev Recd Date: 2016-10-26
Publish Date: 2017-04-19

Abstract

Abstract

For the cancellation of Doppler-spreading clutters of airborne passive radar, firstly, Block RDLMS in beam domain is proposed in order to reduce computational load. In the proposed algorithm, the order of cancellation in Doppler dimension is reduced by beamforming, and the iteration of adaptive processing is reduced by data segmenting, while FFT can be employed. It is verified that the proposed algorithm can reduce computational load substantially, which is valuable for real-time cancellation. Secondly, the improved algorithm is developed based on the idea of proportionate adaptation. Because the same step is assigned to all weights in the proposed algorithm, there will be relatively more residual clutter when the Clutter to Noise Ratio (CNR) is higher. The improved algorithm will assign different steps proportional to the logarithm of corresponding weights. Simulations show that by using the improved algorithm the residual is reduced 1.3dB and the performance of clutter cancellation approaches the ideal case.
- Airborne passive radar,
- Clutter cancellation,
- Block RDLMS,
- Beam domain,
- Step matrix

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References(19)

References

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