基于图像特征的机载正交雷达网空时处理算法
doi: 10.3724/SP.J.1146.2008.00178
Image Feature-Based Space-Time Processing Algorithm in Airborne Orthogonal Netted Radars
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摘要: 该文针对机载正交雷达网(Airborne Orthogonal Netted Radar, AONR)在高度非均匀杂波中的目标检测问题，提出基于图像特征的分布式AONR空时处理算法(Airborne Orthogonal Netted Image Feature-based Space-Time Processing, AON-IFSTP)。首先，研究了AONR杂波在角度-多普勒平面内的轨迹，并在一种特殊几何结构下推导出该轨迹的闭合表达式，揭示出目标信号和杂波信号不同的图像特征，分析了IFSTP在AONR中的可行性。然后，给出AON-IFSTP算法。结果表明，AON-IFSTP算法无需估计杂波协方差矩阵，适合在高度非均匀杂波背景下检测目标，同时能利用空间分集减小目标RCS起伏特性和小径向速度对检测性能的影响。
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关键词:
- 机载正交雷达网;IFSTP;空间分集
Abstract: This paper proposes a decentralized Image Feature-based Space-Time Processing (IFSTP) algorithm in Airborne Orthogonal Netted radar (AON-IFSTP) for the detection of ground moving targets, and evaluates its detection performance. Firstly, the iso-range clutter locus of Airborne Orthogonal Netted Radar (AONR) in Angle-Doppler domain is discussed and a closed-form locus in a special case is derived. Then, the distinct image features shown by targets and interference signals are revealed, and the applicability of the IFSTP to AONR is discussed. Thirdly, the implementation of AON-IFSTP is summarized. Finally computer simulations are conducted. The results show that AON-IFSTP avoids the difficulty of the clutter covariance estimation and is suitable for the application to highly inhomogeneous environment. It is also found that the spatial diveristy can combat detection performance degradations induced by fluctuations of target radar cross section and small radial velocity of target. -
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