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针对多输入多输出(Multi-Input Multi-Output,MIMO)阵列多目标定位,提出一种基于子空间特征分解的MIMO阵列旋转不变子空间算法(MIMO array estimation of signal parameters via rotational invariance techniques,简称MIMO-ESPRIT)。MIMO阵列各阵元发射彼此独立信号,因此阵列输出数据协方差矩阵不存在降秩以及信号子空间向噪声子空间扩散的现象,可直接应用子空间分解算法进行MIMO阵列目标方位估计。性能分析和仿真结果表明,随着发射阵元个数的增加和发射阵元间距的扩大,算法的多目标分辨能力和方位估计精度将得到明显改善。
To solve the multi-input multi-output (MIMO) array multi-target localization, a MIMO array estimation of signal parameters via rotational invariance techniques MIMO-ESPRIT). Therefore, the array output data covariance matrix does not have the rank reduction and the signal subspace spreads to the noise subspace. The subspace decomposition algorithm can be directly applied to estimate the target azimuth of the MIMO array. The performance analysis and simulation results show that with the increase of the number of transmitting elements and the expansion of transmitting element spacing, the algorithm’s multi-target resolution and bearing estimation accuracy will be significantly improved.