A Novel Unambiguous Acquisition Algorithm for BOC(n, n) Signals

Xiyan Sun, Xiaoqian Chen, Qiang Fu, Suqing Yan, Weimin Zhen
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Abstract

In order to solve the problem of ambiguous acquisition of BOC signals caused by its property of multiple peaks, an unambiguous acquisition algorithm is proposed in this paper. The concept of sub quadratic correlation function and sub QBOC code are first defined in this letter by analyzing the autocorrelation and quadratic correlation of BOC(n, n). Then a new correlation function without multiple peaks can be obtained by a simple combination of sub quadratic correlation, which can be used to unambiguous acquisition for BOC(n, n). The theoretical analysis and simulation prove that the proposed algorithm not only can accomplish unambiguous acquisition but also have more effective de-ambiguity, higher capture sensitivity and higher peak to average power ratio compared to the classical BPSK-like, SPCP and ASPeCT algorithms.
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一种新的BOC(n, n)信号的无二义采集算法
为了解决BOC信号的多峰特性导致的采集模糊问题,本文提出了一种无二义采集算法。本文首先通过分析BOC(n, n)的自相关和二次相关,定义了次二次相关函数的概念和子QBOC代码,然后通过对次二次相关的简单组合得到一个新的无多峰的相关函数,该函数可用于BOC(n, n)的无二义采集。n).理论分析和仿真证明,与经典的BPSK-like、SPCP和ASPeCT算法相比,该算法不仅可以实现无二义性捕获,而且具有更有效的去模糊性、更高的捕获灵敏度和更高的峰均功率比。
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