计算机科学 ›› 2011, Vol. 38 ›› Issue (Z10): 454-456.

• 新技术应用 • 上一篇    下一篇

基于广义互相关算法的时延估计

梁宇,马良,纳霞,陈晨   

  1. (云南大学软件学院 昆明650000)
  • 出版日期:2018-11-16 发布日期:2018-11-16

Research of Time Delay Estimation Based on GCC Algorithm

LIANG Yu , MA Liang , NA Xia , CHEN Chen   

  • Online:2018-11-16 Published:2018-11-16

摘要: 在无线电定位技术中,AOA, TOA, TDOA是目前最有发展潜力的蜂窝系统移动台定位技术。定位中对时间差估计的精度要求非常高,测量精度越高,由其引入的定位误差就会越小。传统的广义互相关算法在实际的噪声环境中产生的时延估计误差较高。在此基础上,对时延估计采用了基于周期互谱密度和互功率谱的广义互相关算法进行研究,改进了传统的广义互相关算法。仿真结果表明改进的时延估计算法在恶劣信道环境影响下表现出了相对较好的鲁棒性。

关键词: 广义互相关,周期互谱密度,互功率谱,时间差

Abstract: In the system of radio location, AOA TOA and TDOA are the most development potential location technology of the cellular mobile station. hhe time delay estimation of TIX)A requires very high precision. The higher accuracy of measurement, the residual will be smaller which is introduced. On this basis, the research of time delay estimation adopts new GCC algorithm which is based on periodic cross-spectral and cross-power spectrum. The simulation results show that the improved time delay estimation algorithm in the influence of harsh noise environment shows a relatively good robustness.

Key words: GCC, Periodic cross-spectral density, Cross power spectrum, Time-delay

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