色噪声环境下双基地MIMO雷达相干目标角度估计算法
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电子工程学院,电子工程学院

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Coherent Angle Estimation for Bistatic MIMO Radar in the Presence of Colored Noise
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Electronic Engineering Institute,Electronic Engineering Institute

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    摘要:

    通过深入研究多输入多输出(Multiple Input and Multiple Out,MIMO)雷达的角度估计算法,针对色噪声环境下双基地MIMO雷达相干目标角度估计问题,基于双基地MIMO雷达的信号模型,利用MIMO雷达的接收数据,通过四阶累积量的计算消除了色噪声的影响,并证明得到的一组矢量包含所有目标的角度信息;然后利用得到的四阶累积量矢量构造出块Hankel矩阵,并证明该矩阵的秩等于目标总数,且不受信号相干性的影响,通过奇异值分解,结合ESPRIT算法实现了色噪声环境下对相干目标的角度估计。算法结合四阶累积量和MIMO雷达的估计性能,具有自动抑制加性高斯白噪声和色噪声的能力,实现了相干目标的有效估计和参数的自动配对,提高了抗噪能力,更利于在实际中应用。最后计算机仿真结果证实了算法的有效性和可行性。

    Abstract:

    The angle estimation algorithms of Multiple Input and Multiple Out (MIMO) radar have been studied. A new algorithm based on bistatic MIMO radar signal model is proposed for coherent angle estimation for MIMO radar in the presence of the spatially Gaussian noise. Through the numeration of fourth order Cumulants by using the data vectors of bistatic MIMO radar system, the influence of spatial colored noise can be eliminated and the vector which obtains the target information can be got and proved. Then a block Hankel matrix can be reconstructed by the fourth order Cumulants vector and it is proved that the rank of this block Hankel matrix is equal to the number of targets and has no relations with the coherency of the targets. Through the eigenvalue decomposition of the matrix, the receiver and transmitter angle estimation of coherent targets can be estimated combined with ESPRIT algorithm. This algorithm, combining the capacity of parameter estimation of MIMO radar and fourth order Cumulants, restrains automatically the influence of the additive Gaussian white noise and colored noise and realizes angle estimation of coherent targets with automatic pairing, and which will be more available in practice. Simulation results verify that the proposed algorithm is effective.

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梁 浩,李小波.色噪声环境下双基地MIMO雷达相干目标角度估计算法[J].数据采集与处理,2013,28(2):166-

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  • 收稿日期:2012-01-11
  • 最后修改日期:2012-03-19
  • 录用日期:2012-06-13
  • 在线发布日期: 2013-04-25