分布式孔径相干雷达的多源脉冲相干积累方法

Hao Wei, Qin Kun, Liu Wenjia, Qin Yi
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引用次数: 0

摘要

分布式相干雷达通过不同单元协同完成目标探测和跟踪。目标回波的信号级相干融合对相干信号的精度要求很高。相干融合的性能受到单元间时相同步误差、相干参数估计误差、高机动目标引起的距离和多普勒偏移等因素的严重影响。针对高机动目标在相干积累过程中的运动问题,采用二阶梯形变换和解噪相结合的方法进行距离补偿和多普勒补偿。在距离补偿中,一阶项的距离偏移由二阶变换后的速度模糊度分解一起补偿,避免了更多的速度搜索。在多普勒补偿中,利用循环自相关函数减少了搜索加速度的计算量。从而获得目标的距离、速度、加速度等三维信息,实现目标的检测。最后,通过仿真对算法进行了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-source pulse coherent accumulation method for distributed aperture coherent radar
Distributed coherent radar accomplishes target detection and tracking cooperatively through different units. The signal level coherent fusion of target echo requires high precision of coherent signal. The performance of coherent fusion is seriously affected by the time phase synchronization error between elements, the estimation error of coherent parameters, the range and Doppler migration caused by high maneuvering target and other factors. Aiming at the moving problem of high maneuvering target during coherent accumulation, the range and Doppler compensation are carried out by combining second-order keystone transform and dechirp. In the range compensation, the range migration of first-order term is compensated together by velocity ambiguity resolution after second-order transform, avoiding more velocity searches. In the Doppler compensation, cyclic autocorrelation function is used to reduce the computation amount of searching acceleration. Then the three dimensional target information of range, velocity and acceleration can be obtained and the target detection can be realized. Finally, the algorithm is verified by simulation.
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