Based on the simulation platform , five kinds of arithmetic which were suitable for different situations was analyzed in this dissertation : ( 1 ) when locating at one time , centoid location method with toa measurements . ( 2 ) when locating at one time , hybrid toa / aoa centoid location method ( 1 )一次定位條件下,基于toa的形心定位算法( 2 )一次定位條件下,基于toa / aoa的混合形心定位算法( 3 )連續(xù)定位條件下,速度法抗nlos定位。
( 3 ) when locating continuously , speed location method in nlos environments ( 4 ) when locating continuously , single cell location method based on speed location in nlos environments . ( 5 ) when tracking , kalman tracking for mobile location in nlos situations based on displacement difference . each method was simulated , studied and compared in this dissertation . it was proved that these proposed arithmetic could mitigate nlos propagation errors effectively 這種算法具有對(duì)nlos誤差不敏感的特性( 4 )連續(xù)定位條件下,基于速度法的抗nlos單小區(qū)定位算法( 5 )定位跟蹤條件下,基于位移差的卡爾曼濾波跟蹤算法本文對(duì)每種算法均進(jìn)行了仿真研究和對(duì)比,驗(yàn)證了它們?cè)跍p輕nlos誤差上的可行性和有效性。