基于波束域分块RDLMS的机载外辐射源雷达杂波对消算法

杨鹏程; 吕晓德; 刘宇; 柴致海; 张丹

doi:10.11999/JEIT160595

基于波束域分块RDLMS的机载外辐射源雷达杂波对消算法

doi: 10.11999/JEIT160595

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出版历程
- 收稿日期: 2016-06-03
- 修回日期: 2016-10-26
- 刊出日期: 2017-04-19

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

摘要

摘要: 针对机载外辐射源雷达多普勒展宽的杂波对消问题，该文首先从降低计算量的角度出发，提出了波束域分块RDLMS算法。通过波束形成降低了多普勒维对消阶数，通过分块减小了迭代次数并可以利用FFT快速实现。分析表明，所提算法能够大幅降低杂波对消的计算量，为实时处理提供了支撑。其次，在处理性能方面，由于算法对所有滤波器系数采用相同的步长，当杂噪比较高时会有较大的对消残余；根据系数比例自适应算法的思想，该文提出了改进算法，对不同的滤波器系数采用不同的步长，步长的大小与滤波器系数的对数成正比。仿真表明，改进算法使杂波对消残余降低了1.3 dB，对消性能接近理想。
- 机载外辐射源雷达 /
- 杂波对消 /
- 分块RDLMS /
- 波束域 /
- 步长矩阵
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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参考文献(19)

GRIFFITHS H and BAKER C. Passive coherent location radar systems. Part 1: performance prediction[J]. IEE Proceedings-Radar, Sonar and Navigation, 2005, 152(3): 153-159. doi: 10.1049/ip-rsn:20045082.

DAWIDOWICZ B, KULPA K S, and MALANOWSKI M. Suppression of the ground clutter in airborne PCL radar using DPCA technique[C]. European Radar Conference, Rome, Italy, 2009: 306-309.

BROWN J, WOODBRIDGE K, STOVE A, et al. Air target detection using airborne passive bistatic radar[J]. Electronics Letters, 2010, 46(20): 1396-1397. doi: 10.1049/el.2010.1732.

TAN D K P, LESTURGIE M, SUN H, et al. Target detection performance analysis for airborne passive bistatic radar[C]. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Honolulu, USA, 2010: 3553-3556. doi: 10.1109/IGARSS.2010.5652159.

KULPA K, MALANOWSKI M, SAMCZYNSKI P, et al. The concept of airborne passive radar[C]. IEEE Microwaves, Radar and Remote Sensing Symposium (MRRS), Kiev, Ukraine, 2011: 267-270. doi: 10.1109/MRRS.2011.6053651.

KULPA K, MALANOWSKI M, SAMCZYNSKI P, et al. On-board PCL systems for airborne platform protection[C]. Tyrrhenian International Workshop on Digital Communications-Enhanced Surveillance of Aircraft and Vehicles (TIWDC/ESAV), Capri, Italy, 2011: 119-122.

BROWN J, WOODBRIDGE K, GRIFFITHS H, et al. Passive bistatic radar experiments from an airborne platform [J]. IEEE Aerospace and Electronic Systems Magazine, 2012, 27(11): 50-55. doi: 10.1109/MAES.2012.6380826.

DAWIDOWICZ B, KULPA K S, MALANOWSKI M, et al. DPCA detection of moving targets in airborne passive radar [J]. IEEE Transactions on Aerospace and Electronic Systems, 2012, 48(2): 1347-1357. doi: 10.1109/TAES.2012.6178066.

DAWIDOWICZ B, SAMCZYNSKI P, MALANOWSKI M, et al. Detection of moving targets with multichannel airborne passive radar[J]. IEEE Aerospace and Electronic Systems Magazine, 2012, 27(11): 42-49. doi: 10.1109/MAES.2012.　6380825.

WU Q, ZHANG Y D, AMIN M G, et al. Space-time adaptive processing in bistatic passive radar exploiting group sparsity[C]. IEEE Radar Conference, Arlington, USA, 2015: 886-890. doi: 10.1109/RADAR.2015.7131120.

RABASTE O and POULLIN D. Rejection of Doppler shifted multipaths in airborne passive radar[C]. IEEE Radar Conference, Arlington, USA, 2015: 1660-1665. doi: 10.1109/ RADAR.2015.7131265.

PALMER J, CRISTALLINI D, and KUSCHEL H. Opportunities and current drivers for passive radar research [C]. IEEE Radar Conference, Johannesburg, Africa, 2015: 145-150. doi: 10.1109/RadarConf.2015.7411870.

BERTHILLOT C, SANTORI A, RABASTE O, et al. Improving BEM channel estimation for airborne passive radar reference signal reconstruction[C]. International Radar Symposium (IRS), Dresden, Germany, 2015: 77-82. doi: 10.1109/IRS.2015.7226351.

AHMADI M J, AMIRI R, and BEHNIA F. Mitigation of range and velocity walk in airborne passive radar with long integration time[C]. Iranian Conference on Electrical Engineering (ICEE), Tehran, Iran, 2015: 514-517. doi: 10.1109/IranianCEE.2015.7146270.

TAN D K P, LESTURGIE M, SUN H, et al. Spacetime interference analysis and suppression for airborne passive radar using transmissions of opportunity[J]. IET Radar, Sonar Navigation, 2014, 8(2): 142-152. doi: 10.1049/iet-rsn. 2013.0190.

万显荣, 梁龙, 但阳鹏, 等. 移动平台外辐射源雷达实验研究 [J]. 电波科学学报, 2015, 30(2): 383-390. doi: 10.13443/j.cjors. 2014042301.

WAN Xianrong, LIANG Long, DAN Yangpeng, et al. Experimental research of passive radar on moving platform[J]. Chinese Journal of Radio Science, 2015, 30(2): 383-390. doi: 10.13443/j.cjors.2014042301.

刘立刚, FUKUMOTO M, 张世永. 一种变步长Proportionate NLMS自适应滤波算法及其在网络回声消除中的应用[J]. 电子学报, 2010, 38(4): 973-978.

LIU Ligang, FUKUMOTO M, and ZHANG Shiyong. A variable step-size Proportionate NLMS adaptive filtering algorithm and its application in network echo cancellation[J]. Acta Electronica Sinica, 2010, 38(4): 973-978.

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