正交压缩采样雷达偏离网格目标时延估计技术

参数扰动正交匹配追踪是一种有效的偏离网格目标时延估计技术.但是,该方法在每次迭代时只搜索一个目标,计算量大.本文提出一类低计算量的偏离网格目标时延估计技术——参数扰动带排除贪婪重构算法.该算法在贪婪重构方法中引入带排除技术,用于检测多个与目标最邻近的离散网格,利用参数扰动技术来估计目标与最邻近离散网格之间的时延偏差.本文以正交压缩采样雷达为例,采用回溯自适应正交匹配追踪方法,研究参数扰动带排除贪婪重构算法性能.仿真实验表明,与已有的相关方法相比,该算法在不影响估计精度的情况下可减少一倍以上的计算时间.

Time-Delay Estimation of Off-Grid Targets for Quadrature Compressive Sampling Radar

Parameter-perturbed orthogonal matching pursuit is an effective technique for estimating the time-delays of off-grid targets.However,the technique consumes large computational loading because it only searches one target at each iteration.This paper develops a kind of low complexity methods,which is called parameter-perturbed band-excluded greedy reconstruction algorithms,to estimate the off-grid targets.The proposed technique combines the band-excluded technique and the greedy reconstruction methods to detect the nearest discrete grids of several off-grid targets and exploits the parameter-perturbed technique to estimate the time-delay bias between the off-grid targets and the nearest discrete grids.Taking the quadrature compressive sampling radar as an example,this paper studies the estimation performance of the proposed technique through the backtracking adaptive orthogonal matching pursuit method.Simulation results show that in comparison with other related methods,the proposed technique reduces the computational time more than one time without affecting estimation accuracy.