基于TOA/ DOA 参数估计的隧道高分辨率无源 移动目标定位.

The accurate passive moving target localization is one of the key technologies for the safety and rescue of the people in a complex underground space, such as tunnels, and mine roadways. In this paper, the method based on TOA/ DOA parameter estimation for high resolution passive mobile target localization is proposed. Because of the echo-multipath of still object and the serious fading in tunnel, the strong minimum norm interference suppression method is proposed based on the zero limit of eigenvalue decomposition under the condition of low SNR. This suppresses the direct wave and the echo-multipath interference of still object and detects the reflected wave of moving targets. Meanwhile, the RMCHS (Root Min-norm based on Cross High-order Spectra) algorithm is proposed to overcome nanosecond dense multipath and background noise in the tunnel. The RMCHS algorithm can be used to estimate the TOA/ DOA parameters with high resolution at low SNR, so the high resolution passive moving target localization based on TOA/ DOA parameter estimation is achieved. Simulation results show that the proposed strong interference suppression method and the RMCHS algorithm have strong robustness in tunnel. The proposed method is significantly better in comparison with the traditional algorithm. The influence of noise and nanosecond dense multipath on the performance of the algorithm is reduced. [ABSTRACT FROM AUTHOR]