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MC-DS-CDMA移动通信系统中移动台定位技术的研究

Study of Mobile Station Positioning Technique in MC-DS-CDMA Mobile Communication System

【作者】 林加涛

【导师】 宋耀良;

【作者基本信息】 南京理工大学 , 通信与信息系统, 2004, 硕士

【摘要】 MC-DS-CDMA是采用DS-CDMA与OFDM相结合的Beyond 3G无线接入技术,而移动定位业务是未来蜂窝网都必将提供的增值业务,故MC-DS-CDMA蜂窝系统中的移动定位技术具有广阔的应用前景。 本文首先对蜂窝网移动定位技术进行了全面的介绍,其中对本文所采用的TDOA无线定位技术进行了重点阐述。接着对移动定位所包括的两个过程:TDOA测量值的估计和TDOA定位计算进行了详细的分析。采用广义相关法对TDOA进行估计,而定位算法则在介绍Chan氏定位算法和泰勒序列展开法的基础上,将扩展卡尔曼滤波和粒子滤波技术应用于TDOA定位计算中。然后对本文中采用的T1P1.5定位信道模型进行了介绍,并对TDOA定位误差产生的原因以及NLOS定位误差的鉴别和抑制进行了研究。最后,在介绍OFDM的基本原理的基础上,对CDMA-OFDM中的MC-DS-CDMA系统进行了重点研究,并将TDOA下行链路定位技术应用于MC-DS-CDMA系统中,采用Chan氏算法、NLOS抑制Chan氏算法,扩展卡尔曼滤波法和粒子滤波法进行了定位仿真,仿真结果表明:在实际信道环境下,粒子滤波法定位性能优于Chan氏算法和扩展卡尔曼滤波法,NLOS抑制Chan氏算法对NLOS信道环境下定位性能有明显改善。

【Abstract】 MC-DS-CDMA is a Beyond 3G access technology, which is integrated by DS-CDMA and OFDM. Since mobile positioning operation must be afforded as an increment operation in future cellular network, mobile positioning technology in MC-DS-CDMA system has a wide application prospect.After introducing the wireless cellular network positioning technology in general, this paper elaborates TDOA wireless positioning technology. Then the two processes of mobile positioning are analyzed in detail, which are the estimation of TDOA and the calculation of the position by TDOA value. As for the estimation of TDOA, GCC method is adopted. After introducing Chan algorithm and Taylor algorithm, this paper applies the EKF and the particle filter technique into the positioning by TDOA value. In addition, this paper introduces the TIP 1.5 positioning channel model, and researches the cause of TDOA error, the discriminating and restraining methods of NLOS error. Lastly, this paper introduces the basic theory of OFDM, researches the MC-DS-CDMA system of CDMA-OFDM emphatically, and applies the TDOA downlink positioning technique into the MC-DS-CDMA system. In simulating the positioning procedure, the positioning algorithms are Chan algorithm, NLOS Chan algorithm, EKF algorithm and particle filter algorithm. The simulation results indicate that the particle filter technique is more excellent than EKF and Chan algorithm in the actual channel surroundings and that NLOS restrained Chan algorithm is beneficial to improving the positioning performance in NLOS channel surroundings.

  • 【分类号】TN929.533
  • 【被引频次】3
  • 【下载频次】306
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