以Alpha稳定分布作为噪声模型，研究了脉冲噪声环境下宽带双基地MIMO雷达系统中参数估计问题。针对在脉冲噪声环境中，基于传统的信号模型和算法效果显著退化的问题，本文提出了基于分数低阶统计量的宽带模糊函数算法。首先根据分数低阶宽带模糊函数的峰值点实现对多普勒频率尺度因子和时延的联合估计。接下来基于分数低阶宽带模糊函数构造两个子阵。通过采用改进的MUSIC算法和ESPRIT算法实现了收发角的联合估计。仿真实验表明本文算法具有很好的性能。%This paper takes the Alpha stable distribution as the noise model and studies the problem of bistatic multi-ple-input multiple-output (MIMO)radar system in the impulsive noise environment.Since the conventional algorithms de-generate severely in the impulsive noise environment,this paper proposes a novel method of wide-band ambiguity function based on the fractional lower-order statistics (FLOS-WBAF).Firstly,Doppler stretch and time delay are jointly estimated by peak searching the FLOS-WBAF.Secondly,two sub-array models are constructed based on the FLWBAF.Furthermore,two modified algorithms are proposed for the estimation of DODs and DOAs,including the fractional lower-order wide-band am-biguity function based on MUSIC algorithm (FLWBAF-MUSIC)and the fractional lower-order wide-band ambiguity func-tion based on ESPRIT algorithm (FLWBAF-ESPRIT).Simulation results are presented to verify the effectiveness of the proposed method.
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