采用動(dòng)態(tài)窗口寬度和二次平均算法的SSOA定位方法
Signal-Strength-of-arrival location using dynamic window-width and double-averaging algorithm
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摘要: 信號(hào)的中值估計(jì)是到達(dá)信號(hào)強(qiáng)度(SSOA)定位的核心,其誤差主要來源于信道的快衰落和陰影(慢)衰落。信號(hào)平均是獲得信號(hào)中值估計(jì)的重要手段,該文提出了二次平均和動(dòng)態(tài)窗口寬度算法以提高中值估計(jì)精度,從而達(dá)到進(jìn)一步提高定位精度的目的。計(jì)算機(jī)仿真結(jié)果表明,在衰落信道中,二次平均算法的定位精度比傳統(tǒng)方法約高30％。采用動(dòng)態(tài)窗口寬度后,可保證在移動(dòng)臺(tái)低速運(yùn)動(dòng)時(shí)仍具有較高的定位精度。
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關(guān)鍵詞:
- 蜂窩定位; 到達(dá)信號(hào)強(qiáng)度; 中值估計(jì)
Abstract: The estimation of local mean signal strength is the core of SSOA (Signal Strength Of Arrival) 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. -
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