Abstract:

Based on the feature that the targets are sparse in space, a positioning algorithm based on sparse reconstruction is proposed. Most of the existing time-of-arrival (TOA) algorithms use only one sample to estimate targets and they are sensitive to noise. The multisample joint estimation algorithm is further proposed to improve the noise robustness and the positioning accuracy of the algorithm. Compared with the existing algorithms, the proposed algorithm has a higher positioning accuracy and stronger noise robustness. Simulation results demonstrate the effectiveness of the proposed algorithm.