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作 者:王家珂 吴云韬[1,2] 巩朋成 WANG Jiake;WU Yuntao;GONG Pengcheng(Hubei Key Laboratory of Intelligent Robot(Wuhan Institute of Technology),Wuhan 430205,China;School of Computer Science&Engineering,Wuhan Institute of Technology,Wuhan 430205,China)
机构地区:[1]智能机器人湖北省重点实验室(武汉工程大学),湖北武汉430205 [2]武汉工程大学计算机科学与工程学院,湖北武汉430205
出 处:《武汉工程大学学报》2022年第2期209-212,共4页Journal of Wuhan Institute of Technology
基 金:国家自然科学基金(61771353);湖北三峡实验室开放基金(SC215001)。
摘 要:针对双基地多输入多输出(MIMO)雷达系统中,多目标波离方向(DOD)和波达方向(DOA)联合估计精度低的问题,提出了一种改进的传播算子(PM)方法。根据传播算子定义要求提取存在旋转不变结构的相关数据,组合相关数据求得协方差,采用前后向平滑方法求得传播算子,根据其内部结构特征求出旋转不变因子,估计出DOD和DOA的值。仿真结果表明:与传统的旋转不变子空间算法和PM算法相比,该方法具有更高的估计精度,在低信噪比时与传统的PM算法相比最大均方根误差相差4 dB,性能更加稳定,更适合低信噪比时的DOD和DOA高精度估计。Aiming at the low estimation accuracy of multi-target direction of departure(DOD)and direction of arrival(DOA)in bistatic multiple-input multiple-output(MIMO)radar system,an improved propagator method(PM)was proposed.The proposed method extracts the relevant data with rotation invariant structure based on the definition requirements of propagator and combines the relevant data to get the covariance matrice,meanwhile,the forward/backward smoothing method was used to obtain the propagator that the estimated value of DOD and DOA can be given by using the propagator internal structural characteristics.The simulation results demonstrate that the proposed method has higher estimation accuracy compared with the traditional estimation of signal parameters via rotational invariance technique algorithm and the conventional PM algorithm.The main features of the proposed method are more stable,and higher accuracy for DOD and DOA estimation,since the maximum root mean square error difference is 4 dB when compared with the traditional PM algorithm in the case of the lower signal to noise ratios.
关 键 词:MIMO雷达 传播算子 旋转不变因子 DOD估计 DOA估计
分 类 号:TN953[电子电信—信号与信息处理]
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