Joint DOD and DOA Estimation for Bistatic MIMO Radar in Unknown Correlated Noise

Joint DOD and DOA Estimation for Bistatic MIMO Radar in Unknown Correlated Noise
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未知相关噪声下双基地 MIMO 雷达的联合 DOD 和 DOA 估计

DOI:
10.1109/tvt.2014.2384495
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发表时间:
2015-11-01
影响因子:
6.8
通讯作者:
Wong, Kon Max
Wong, Kon Max
中科院分区:
计算机科学2区
文献类型:
--
作者:
Jiang, Hong;Zhang, Jian-Kang;Wong, Kon Max

文献摘要

被引文献

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研究了未知空间相关噪声环境下双基地多输入多输出(MIMO)雷达的出发方向(DOD)和到达方向(DOA)联合估计问题。该信号模型基于这样的假设,即波形由具有M-1和M-2传感器的两个分离子阵列发射,并由分别具有N-1和N-2传感器的两个分离子阵列接收。使用由M=M-1+M-2个正交发射的波形组成的匹配矩阵对接收的数据进行脉冲压缩。分析了未知相关噪声的联合协方差矩阵。提出了一种在未知噪声环境下利用发射机和接收机子阵联合估计DOD和DOA的新算法。该联合估计算法基于典型相关分解(CCD),并利用了各种导向矩阵每列的Kronecker乘积结构中的移不变性。估计的DOA和DOD可以自动对应配对。此外,还推导了DOD和DOA估计的随机Cramer-Rao界(CRB)公式。仿真结果表明,该方法能有效提高未知相关噪声环境下的估计性能,且对两个子阵中的噪声环境不敏感。
In this paper, joint direction-of-departure (DOD) and direction-of-arrival (DOA) estimation for bistatic multiple-input-multi-output (MIMO) radar in an unknown spatially correlated noise environment is investigated. The signal model is based on the assumption that the waveforms are transmitted by two separated subarrays having M-1 and M-2 sensors and received by two separated subarrays having N-1 and N-2 sensors, respectively. The received data are pulse-compressed using a matching matrix consisting of M = M-1 + M-2 orthogonally transmitted waveforms. The joint covariance matrix of unknown correlated noise is analyzed. A novel algorithm is proposed by jointly estimating the DOD and DOA with transmitter and receiver subarrays in unknown noise. The joint estimation algorithm is based on the canonical correlation decomposition (CCD) and exploits the shift-invariance properties in the Kronecker product structure of each column of the various steering matrices. The estimated DOA and DOD can be automatically paired correspondingly. In addition, the formulas of stochastic Cramer-Rao bounds (CRB) for DOD and DOA estimation are derived. Simulations show that our method can effectively improve the performance of estimation in unknown correlated noise environments and is insensitive to having different noise environments in the two subarrays.