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机构地区:[1]南京理工大学电子工程与光电技术学院,江苏南京210094 [2]解放军理工大学通信工程学院,江苏南京210007
出 处:《通信学报》2017年第2期125-131,共7页Journal on Communications
基 金:国家自然科学基金资助项目(No.61271354)~~
摘 要:针对空时互质采样下频率和波达方向(DOA,direction-of-arrival)稀疏联合估计中存在的二维栅格失配问题,提出一种栅格失配目标下的频率和DOA联合估计方法。首先对入射信号做空时互质采样,建立虚拟满阵下的二维稀疏恢复模型,然后在以上模型中引入频率栅格失配误差项和角度栅格失配误差项进行二维修正,并给出一种改进的贪婪算法,通过对谱泄露变量联合求解来得到二维栅格失配误差项,最终将栅格失配目标校正到精确位置上。该方法不仅可以提高空频域上的自由度(DOF,degrees of freedom),而且在降低运算量的同时改善了频率和DOA联合估计的精度。仿真结果验证了方法的正确性。A method of joint frequency and direction of arrival(DOA) estimation using spatial-temporal co-prime sampling with off-grid sources was proposed to solve the problem of two-dimensional(2D) mismatches of signals.Firstly,the received signal was sampled by spatio-temporal co-prime sampling technique to construct 2D sparse reconstruction model with the filled coarray.Then the frequency mismatch term and angle mismatch term were incorporated into the received data model.Based on the above modified model,an improved greedy algorithm was presented to obtain the frequency mismatch and angle mismatch by estimating the spectrum leakage terms jointly.So the 2D off-grid sources can be corrected to accurate positions.The method can increase the degrees of freedom(DOF) in the space-frequency domain.Moreover,the method has reduced the amount of computation,and it can improve the frequency and DOA estimation accuracy in the meantime.Simulation results demonstrate the correctness and effectiveness of the proposed approach.
关 键 词:阵列信号处理 空时互质采样 DOA估计 频率估计 栅格失配
分 类 号:TN911.7[电子电信—通信与信息系统]
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