基于TOA的置信因子移動定位算法
A TOA Based Believable Factor Mobile Location Algorithm
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摘要: 移動臺的精確定位面臨的一個主要問題就是信號的非視距(NLOs)傳輸。小文在TOA測量距離的基礎(chǔ)上,利用基站和測量值之間的幾何關(guān)系、信號的損耗模型和信號強(qiáng)度信息,提出了置信因子定位算法(BFA)。研究了BFA算法在不同類型NLOS誤差下的表現(xiàn),結(jié)果表明該算法能夠有效地降低NLOS誤差的影響,定位精度比其它算法有顯著提高,而且在不同分布的NLOS誤差下表現(xiàn)穩(wěn)定。
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關(guān)鍵詞:
- 移動通信; 定位算法; 置信因子; NLOS誤差
Abstract: A key obstacle to high accuracy mobile location is the None Line of Sight (NLOS) transmission of signal. This paper presents a new radio location algorithm-believable factor algorithm (BFA), based on the time of arrival (TOA) range measurements, using the geometric relationship between the base station and measurements, the path loss model and received signal strength. Different distributed NLOS error is utilized to research the performance of this approach. Results show that the BFA algorithm can efficiently reduce the influence of the NLOS error, and is robust to different distributed NLOS error. The location accuracy has been improved greatly compared with other algorithms. -
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