一种适用于低信噪比环境下的差分相关捕获方法

发布时间：2018-01-08 13:04

本文关键词：一种适用于低信噪比环境下的差分相关捕获方法　出处：《电子技术应用》2017年05期 　论文类型：期刊论文

【摘要】：直接扩频系统中的捕获是一项非常关键的同步技术。常用差分处理来消除频偏对峰值的影响,然而一般差分捕获算法随着伪码的增长、信噪比的降低都会导致信噪比的损失很大。提出一种改进的差分捕获算法,基于差分相关的M阶无偏自相关捕获算法(MUAC-DF),将信号和伪码相乘消除伪码信息后做M阶无偏差分自相关,在一定程度上弥补了差分带来的信噪比损失,提高了抗噪性能;详细介绍了其数学模型,并且从理论上分析了MUAC-DF算法性能;最后在相同条件下进行仿真验证。实验结果表明,MUAC-DF捕获算法比一般的差分非相干码捕获技术性能更加优越,其捕获性能有4~5 dB的改善,更适应于低信噪比条件下工作。
[Abstract]:Acquisition in direct spread spectrum system is a very important synchronization technology. Differential processing is commonly used to eliminate the influence of frequency offset on peak value. However, the general differential acquisition algorithm increases with the increase of pseudo code. The reduction of signal-to-noise ratio will lead to great loss of signal-to-noise ratio. An improved differential acquisition algorithm based on differential correlation M order unbiased autocorrelation acquisition algorithm (MUAC-DF) is proposed. After multiplying the signal and the pseudo code to eliminate the pseudo code information, the M-order unbiased autocorrelation is done, which makes up the SNR loss caused by the difference to a certain extent and improves the anti-noise performance. The mathematical model is introduced in detail, and the performance of MUAC-DF algorithm is analyzed theoretically. Finally, the simulation results under the same conditions show that the performance of MUAC-DF acquisition algorithm is better than that of conventional differential incoherent code acquisition technology, and its performance is improved by 4 ~ 5 dB. It is more suitable for working under the condition of low signal-to-noise ratio.
【作者单位】：教育部智能计算与信号处理重点实验室(安徽大学);上海物联网有限公司;
【基金】：上海市科技重大项目(15DZ1100400)
【分类号】：TN914.42
【正文快照】： 0引言直接序列扩展频谱(Direct Sequence Spread Spectrum,DSSS)通信系统具有很强的抗干扰能力和选址能力,随着IEEE802.15.4k[1]标准的制定,这种通信技术被大量而广泛地应用于卫星通信、导航系统、保密和低功耗关键基础设施监控(Low Energy,Critical Infrastructure Monitor-i

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