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一种基于匹配滤波器的新型通信与导航融合信号捕获方案。

An Acquisition Scheme Based on a Matched Filter for Novel Communication and Navigation Fusion Signals.

作者信息

Deng Zhongliang, Mo Jun, Jia Buyun, Bian Xinmei

机构信息

School of Electronic Engineering, Beijing University of Posts and Telecommunications, No. 10 Xitucheng Road, Haidian District, Beijing 100876, China.

出版信息

Sensors (Basel). 2017 Aug 2;17(8):1766. doi: 10.3390/s17081766.

Abstract

In order to enhance the positioning capability of terrestrial networks, a novel communication and navigation fusion signal is proposed. The novel signal multiplexes the communication and navigation signal in the same frequency band, and the navigation system is superimposed on the original communication system. However, the application of pseudorandom noise (PRN) sequences in the navigation system is limited by the communication clock period. Taking the application of PRN sequences limited by the clock period as objects, the present study analyzes truncated PRN (TPRN) sequences. PRN sequences with a TPRN sequence as the navigation signal can overcome the communication system clock period limitation. Then, a matched filter algorithm with double detection (MFADD) is proposed to acquire the novel signal. The matched filter method is applied to the proposed algorithm to determine the start code phase of TPRN. Monte Carlo simulations and real data tests demonstrate the effectiveness of the proposed algorithm for the designed signal.

摘要

为了增强地面网络的定位能力,提出了一种新型通信与导航融合信号。该新型信号在同一频带内复用通信和导航信号,且导航系统叠加在原通信系统之上。然而,伪随机噪声(PRN)序列在导航系统中的应用受通信时钟周期限制。本研究以受时钟周期限制的PRN序列应用为对象,分析了截断PRN(TPRN)序列。以TPRN序列作为导航信号的PRN序列能够克服通信系统时钟周期限制。然后,提出了一种双检测匹配滤波算法(MFADD)来获取该新型信号。将匹配滤波方法应用于所提算法以确定TPRN的起始码相位。蒙特卡罗仿真和实际数据测试证明了所提算法对设计信号的有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ffe8/5579497/fd16f031d388/sensors-17-01766-g001.jpg

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