基于块稀疏矩阵恢复的MIMO雷达扩展目标高分辨成像算法

针对现有多输入多输出(multiple input multiple output,MIM O)雷达稀疏恢复成像算法中存在的运算量大、对扩展目标成像质量低的问题,提出一种基于块稀疏矩阵恢复的MIMO雷达扩展目标高分辨成像算法,通过引入目标块稀疏特征,提高对空间扩展目标的成像质量.首先,通过构造距离向和方位向感知矩阵,建...

Extended target high resolution imaging algorithm for MIMO radar based on block sparse matrix recovery

In order to solve the problems of high computational complexity and low imaging quality for extended targets in existing multiple input multiple output(MIMO)radar sparse recovery imaging algorithms,a high resolution imaging algorithm for MIMO radar extended targets based on block sparse matrix recovery is proposed.By introducing the block sparse feature of target,the imaging quality of spatial extended target is improved.Firstly,by constructing the range and azimuth sensing matrices,the block sparse matrix restoration model of target scattering coefficient estimation is established.Then,the block sparse features of the target are extracted by sequential order one negative exponential(SOONE)function.Finally,the gradient projection algorithm is used to solve the norm optimization problem of block sparse matrix,and the high-quality image of the target is obtained under the condition of under sampling.Compared with the traditional imaging algorithms,the proposed algorithm can achieve high-resolution imaging of extended targets while reducing the amount of data sampling,and has higher accuracy,robustness and lower computational complexity.Simulation experiments verify the effectiveness of the proposed imaging algorithm.