一种基于压缩感知的高精度目标跟踪算法

为解决传统单目标跟踪方法精度低、稳定性差的问题，通过压缩感知的方法研究了扩展卡尔曼滤波，提出了一种基于压缩感知的扩展卡尔曼滤波算法。该算法基于压缩感知理论、采用阵列进行视场范围内的位置跟踪，即多传感器单目标跟踪。结果表明：在信噪比较低时该方法对目标跟踪的精度较高，并且对角度的估计使用的快拍数更少，降低了计算复杂度；并且所提算法在精确度和稳定性方面对目标的跟踪效果都要比传统算法好。

A Method of Target Tracking with High AccuracyBased on Compressed Sensing

In order to solve the problem of the low accuracy and the poor stability adopting the traditional algorithms, compressed sensing was used to investigate the track location within the scope of the field, namely the multisensor single target tracking (MST). The results show that in low signal noise ratio (SNR), the target tracking accuracy of the proposed algorithm was higher, and the computational complexity was reduced. It is concluded that the proposed algorithm is better than traditional algorithms in terms of accuracy and stability.