采用动态窗口宽度和二次平均算法的SSOA定位方法

信号的中值估计是到达信号强度(SSOA)定位的核心,其误差主要来源于信道的快衰落和阴影(慢)衰落。信号平均是获得信号中值估计的重要手段,该文提出了二次平均和动态窗口宽度算法以提高中值估计精度,从而达到进一步提高定位精度的目的。计算机仿真结果表明,在衰落信道中,二次平均算法的定位精度比传统方法约高30％。采用动态窗口宽度后,可保证在移动台低速运动时仍具有较高的定位精度。

Signal-Strength-of-arrival location using dynamic window-width and double-averaging algorithm

The estimation of local mean signal strength is the core of SSOA (Signal Strength Of Anival) location. The primary source of error is fast fading and shadowing (slow fading). Signal strength averaging is an important approach to estimate the local mean. This paper suggests a double-averaging algorithm with dynamic widow-width to improve the estimation and thus enhances the location accuracy. The results of computer simulation proved that the methods improve location accuracy by 30% than traditional methods in fading channel. And, with the aid of dynamic window-width, sufficient location accuracy can be obtained while mobile station is in low mobility.