针对多输入多输出(MIMO)雷达二维参数稀疏估计中的不在格点上(off-grid)目标问题,利用两次泰勒展开对信号模型进行修正,构建联合稀疏重构模型,将off-grid问题转化为联合稀疏重构问题;为降低计算复杂度,针对该联合稀疏重构模型提出Joint-2D-OMP算法。仿真结果表明:所提模型和算法在解决off-grid问题的同时,可有效提高参数估计的速度。

Aiming at the problem of non-lattice targets in two-dimendional parameters sparse estimation of MIMO radar, the signal model is modified by two Taylor expansion, and the joint sparse reconstruction model is obtained. The off-grid problem is transformed into the joint sparse reconstruction problem. Then, in order to reduce the computational complexity, a Joint-2D-OMP algorithm is proposed for the joint sparse reconstruction model. The simulation results show that the proposed model and algorithm can effectively reduce the computational complexity of parameter estimation while solving off-grid problem.

TN957