基于WRELAX的小运算量GNSS多径干扰抑制算法
GNSS Multipath Mitigation Algorithm with Low Computation Burden Based on WRELAX

针对全球卫星导航系统（Global navigation satellite system，GNSS）中的多径干扰抑制问题，本文提出了一种有效的小运算量算法。该算法将多径抑制问题转换为时延估计问题，利用基于信号分离理论的Weighted RELAXation （WRELAX）算法求解非线性最小二乘代价函数。考虑到GNSS信号相关函数的特点，通过对接收数据与参考信号的相关函数及参考信号的自相关函数进行加窗截取，取出相关函数信息量较大的主峰值及其附近的范围，从而减小了数据长度，从根本上减小了WRELAX进行参数估计时的运算量，为工程实现提供了可能。最后通过理论分析和仿真实验验证了本文算法在降低运算量的同时能够保证性能不会受到较大损失，尤其对实际中多径干扰与直达信号相比较弱时，本文算法可获得与现有算法相当的性能。
The paper studied the multipath interference mitigation in global navigation satellite system (GNSS). A novel efficient weighted RELAXation (WRELAX) based algorithm considering the characteristic of the correlation of GNSS signal is proposed. The proposed algorithm has the advantage of lower computation burden compared with the state of art methods. In the proposed algorithm, by windowing the auto-correlation of the reference signal and the cross-correlation between the received data and the local reference signal, the data length in the iterative parameter estimation process is greatly shortened. Therefore, the amount of computation burden is reduced. Experimental results indicate that the proposed algorithm has similar performance and much low computation burden compared with the original WRELAX algorithm.