摘要
由于对无线定位日益增长的业务需求,无线定位近些年成为人们关注的焦点。针对实际环境中TDOA测量值时常受到非视距的影响而造成定位精度显著下降的问题,在Chan算法基础上,提出一种减小非视距影响的算法,该算法采用加入校正因子的方法,通过逐步迭代,以增加较小的运算量为代价减小非视距的影响,从而达到提高定位精度的目的。仿真表明,在各种环境下,特别是非视距环境下,该算法能够显著提高定位的精度,且运算量较小,因而具有一定的实用意义。
Because of the ever - growing demand for wireless location, people have interest in it. In view of the location accuracy＇ s drop due to the TDOA measurement affected by NLOS under the real environment, based on the Chan＇ s algorithm, an algorithm for reducing the influence of NLOS for TDOA is introduced. The algorithm uses the amendatory factor and iterates gradually, and at the cost of the small additional operation to reduce the influence of NLOS, finally improves the accuracy of the rotation. Simulation shows that under all environments, especially under NLOS environment, the algorithm improves the accuracy of location apparently with less computation, so the algorithm is practical.
出处
《计算机仿真》
CSCD
2007年第9期116-119,149,共5页
Computer Simulation
