DSSS/UQPSK signal pseudo code sequence estimation method based on characteristic decomposition and Messay algorithm

Abstract

The invention relates to a DSSS / UQPSK signal pseudo code sequence estimation method based on characteristic decomposition and the Messay algorithm, and belongs to the technical field of communication. The estimation method includes the steps that segmentation is carried out according to a long code cycle, segmentation is carried out on each segment according to the information code element width, a short code sequence and long PN code sequences of all the segments are obtained according to a characteristic decomposition method, a part of the long PN code sequences of all the segments are selected for solving a generator polynomial, and the long PN code sequences of the whole cycle are recovered according to the generator polynomial. According to the DSSS / UQPSK signal pseudo code sequence estimation method, the efficiency of PN code estimation is improved, besides, accuracy of PN code estimation is improved, and the problem of phase ambiguity when the long code sequences are recovered can be effectively solved. No prior knowledge requirement is made for the own characteristics of PN codes, and people only need to know the cycle of the long PN codes and the cycle of short PN codes. The DSSS / UQPSK signal pseudo code sequence estimation method has application prospects in multiple fields such as radio management, military communication reconnaissance and interception and coherent jamming.

Description

technical field [0001] The invention relates to the field of communication systems, in particular to a method for estimating pseudocode sequences of DSSS / UQPSK signals based on the combination of eigendecomposition and Messi algorithm in the communication system. Background technique [0002] At present, under the condition of low signal-to-noise ratio, under the premise that the DS / SS signal pseudo-noise sequence (PN, Pseudo-noise Sequence) code period, chip rate, carrier and other parameters have been estimated, the PN code sequence estimation algorithm There are eigendecomposition method, neural network method, maximum likelihood estimation method and so on. [0003] Literature (Qiu Yixiu Spreading sequence estimation in long code direct spread signal [M]. Chengdu: University of Electronic Science and Technology of China Master Thesis, 2012.) introduces the eigendecomposition method into the long PN code sequence estimation of direct spread signal. [0004] It is assumed...

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Problems solved by technology

[0016] The technical problem to be solved by the present invention is, adopting eigendecomposition method to estimate the phase ambiguity problem in the pseudo noise PN code of direct sequence spread spectrum DS / SS signal in the prior art and the phase ambiguity problem of PN code sequence, utilize a kind of eigendecomposition method and A method of combining Messi's algorithm to solve a pseudo-code sequence estimation problem of a (DSSS / UQPSK signal

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