摘要
在基于时差定位的各种算法中,Chan氏算法应用普遍。但在非视线传播环境(NLOS,Non-Line Of Sight)下,其定位性能显著下降。在分析基于视线传播的Chan氏算法基础上,给出了一种改进算法,利用TDOA残差对Chan结果进行加权,研究了当NLOS为确定性和随机性误差两种情况下该算法的性能。仿真结果表明,该算法在不同场合和环境下,都能有效地抑制NLOS误差,定位精度明显提高。
Chart algorithm is widely used in all kinds of location algorithm based on TDOA.But under the NLOS environment,its location performance is clearly decreased. This paper presents a modified algorithm based on the analysis of the Chan location algorithm under LOS environment,using the TDOA residual weighted the solution of Chan. This paper also studies the performance of algorithm when the NLOS error is a deterministic variable or a random variable. The simulation results show that the algorithm can effectively control the NLOS errors in different scenarios and environment,the accuracy of location is apparently increased.
出处
《计算机工程与应用》
CSCD
北大核心
2007年第18期34-36,共3页
Computer Engineering and Applications
