基于宽带时空Radon-Fourier变换的高速微弱目标检测方法

Wideband Time-space Radon-Fourier Transform for High-speed and Weak Target Detection

宽带数字阵列雷达(DAR)中跨距离单元走动(ARU)、匹配滤波器失配以及孔径渡越问题降低了高速微弱目标的检测性能。为此,该文给出一种宽带时空Radon-Fourier变换(WST-RFT)相参积累方法。该方法基于DAR 3维回波模型给出了宽带匹配滤波器系统响应函数,并通过联合搜索目标3维参数空间,同时解决ARU、匹配滤波器失配和孔径渡越问题。给出了基于WST-RFT检测器的最优性证明。针对WST-RFT 3维参数空间遍历搜索运算量大的问题,该文进一步给出了基于Chirp-Z变换(CZT)的WST-RFT快速算法。最后,数值实验结果验证了该文所提方法的有效性。

The Across Range umt （ARU） etiect,mismatch, phenomenon can badly deteriorate the performance of high-speed weak target detection in wideband Digital Array Radar （DAR）. To address these issues, a novel long-time coherent integration method, namely, Wideband Space- Time Radon Fourier Transform （WST-RFT） is proposed. Based on the 3D echo model of DAR, the system response function of wideband matched filter is given~ and by jointly searching the 3D parameter space, the ARU effect, mismatch problem of the matched filter and the aperture fill phenomenon can be simultaneously addressed. Theil, the optimality of the WST-RFT based detector is demonstrated. Furthermore, to solve high computation cost problem caused by ergodic search in the WST-RFT, a fast implementation based on Chirp-Z Transform （CZT） is given. Finally, numerical experiments demonstrate the effectiveness of the proposed method.