基于稀疏重构的角度-速度联合目标参数估计方法

Angle Velocity Joint Target Parameter Estimation Method Based on Sparse Reconstruction

针对目标多参数联合估计问题,利用目标在空-频域的稀疏性,提出了一种基于奇异值分解的正则化多测量矢量欠定系统聚焦求解(SVD-RMFOCUSS)算法,实现了目标角度速度参数的联合估计。在发射信号采用脉间捷变频技术的基础上,通过建立基于过完备字典矩阵的角度速度估计信号模型,采用奇异值分解提取信号子空间以降低运算量,利用RMFOCUSS算法完成目标角度速度参数与字典元素的自动匹配,给出了基于MUSIC算法的角度速度联合谱计算公式,并与文中所提算法进行了比较。仿真实验表明文中所提方法可以在低信噪比的情况下实现目标参数的精确估计,且估计性能优于MUSIC方法,具有更高的角度、速度分辨力及估计精度。同时该方法也适用于强欺骗干扰下对弱信号的检测与估计。

Aiming at the problem of joint estimation of target multi parameters,a regularized multi measurement vector underdetermined system focusing solution(SVD-RMFORMSS)algorithm based on Singular value decomposition is proposed by using target sparsity in the space frequency domain.On the basis of the inter pulse frequency agility technology used in the transmission signal,the angular velocity estimation signal model based on the over complete dictionary matrix is established,and the signal subspace is extracted by Singular value decomposition to reduce computation amount.Finally,RMFOCUSS algorithm is adopted to complete automatic matching of the target angular velocity parameters and dictionary elements.And a formula for calculating the joint spectrum of angular velocity based on the MUSIC algorithm is provided in comparison with the proposed algorithm.Simulation and experimental results show that the proposed method can achieve accurate estimation of target parameters under low signal-to-noise ratio conditions,and its estimation performance is superior to MUSIC method,with higher angle,velocity resolution,and estimation accuracy.At the same time,this method is also applicable to the detection and estimation of weak signals under strong deception interference.