基于波束域分块RDLMS的机载外辐射源雷达杂波对消算法

发布时间：2018-01-23 02:19

本文关键词： 机载外辐射源雷达杂波对消分块RDLMS 波束域步长矩阵　出处：《电子与信息学报》2017年04期 　论文类型：期刊论文

【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1.3dB,对消性能接近理想。
[Abstract]:Aiming at the clutter cancellation problem of airborne external emitter radar Doppler broadening, this paper starts from the point of view of reducing the computational complexity. A beamspace block RDLMS algorithm is proposed. The Doppler dimension cancellation order is reduced by beamforming, and the iterative number is reduced by block segmentation, which can be realized quickly by FFT. The proposed algorithm can greatly reduce the computational complexity of clutter cancellation, which provides support for real-time processing. Secondly, in terms of processing performance, the algorithm uses the same step size for all filter coefficients. When the noise is high, there will be large residual cancellation. According to the idea of coefficient proportional adaptive algorithm, this paper proposes an improved algorithm, which uses different step size for different filter coefficients. The size of step size is proportional to the logarithm of filter coefficients. The improved algorithm reduces the residue of clutter cancellation by 1.3 dB, and the cancellation performance is close to ideal.
【作者单位】：中国科学院电子学研究所;微波成像技术国家级重点实验室;中国科学院大学;
【分类号】：TN957.51
【正文快照】： 外辐射源雷达是一种利用电视、调频广播和全球移动通信系统(GSM)等非合作辐射源作为照射源的双/多基地雷达[1]。目前针对外辐射源雷达的研究主要集中在静止平台,针对运动平台的外辐射源雷达研究还比较少。机载外辐射源雷达[2-14]结合了外辐射源雷达与机载雷达的特点,具有隐蔽

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