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Joint DOD and DOA Estimation for High Speed Target Using Bistatic MIMO Radar

机译:使用BISTATIC MIMO雷达联合国防部和DOA估计高速目标

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摘要

In bistatic multiple-input multiple-output (MIMO) radar, range migration and invalidly synthesized virtual array resulting from the serious mismatch of matched filter make it difficult to estimate direction of departure (DOD) and direction of arrival (DOA) of high speed target using the traditional superresolution algorithms. In this study, a method for joint DOD and DOA estimation of high speed target using bistatic MIMO radar is proposed. After multiplying the received signals with the conjugate of the delayed versions of the transmitted signals, Fourier transform (FT) of the multiplied signals over both fast time and slow time is employed. Then, the target components of radar return corresponding to the different transmitted waveforms can be perfectly separated at the receivers by extracting the target frequency-domain data along slow-time frequency dimension when the delay between the transmitted signals and their subsequent returns is timed. By splicing the separated target components distributed along several range cells, the virtual array can be formed, and then DOD and DOA of high speed target can be estimated using the superresolution algorithm with the range migration and the mismatch of matched filter properly removed. Simulation results have proved the validity of the proposed algorithm.
机译:在BISTATIC多输入多输出(MIMO)雷达,范围迁移和无效合成的虚拟阵列产生的匹配过滤器的严重不匹配使得难以估计偏离的方向(DOD)和高速目标的到达方向(DOA)使用传统的超级大学算法。在该研究中,提出了一种使用双态MIMO雷达的联合国防部和DOA估计的方法。在将接收信号与发送信号的延迟版本的缀合物乘以乘以快速时间和慢速时间的延迟版本的延迟版本的缀合物之后。然后,当发送信号与其后续返回之间的延迟时,通过沿慢速频率维度提取目标频域数据,可以在接收器中完全分离与不同发送波形的雷达返回的目标分量。通过拼接沿多个范围电池分布的分离的目标分量,可以形成虚拟阵列,然后可以使用具有范围迁移的超级大学算法和匹配滤波器的不匹配算法估计高速目标的国防部和DOA。仿真结果证明了所提出的算法的有效性。

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