A Blind Estimation Method of Boc Signal Parameters Based on Cyclic Autocorrelation

Abstract

Protection for a BOC signal parameter blind estimation method based on a cyclic autocorrelation function is claimed. The invention belongs to the technical field of signal processing. First, the cyclic autocorrelation function of a BOC signal is obtained; a tangent plane where an average cyclic autocorrelation function delay time [tau] =0 is extracted and the tangent plane is searched for the largest spectrum peak, wherein a cyclic frequency corresponding to the largest spectrum peak is the carrier frequency to be estimated; a tangent plane where an average cyclic autocorrelation function delay time [tau] not equal to zero is extracted, and the tangent is searched for two spectrum peaks which have different amplitudes and are closest to a zero-frequency, and therefore estimations of pseudo code rate and subcarrier rate can be realized according to the cyclic frequencies corresponding to the two spectrum peaks. At the same time, progressive average is performed to cyclic autocorrelation functions of multiple signals. Noise reduction and accurate estimation are realized. By use of the method, the BOC signal carrier frequency, the subcarrier rate and the pseudo code rate under low signal noise ratio can be accurately estimated, and therefore the method is of great significance to follow-up treatment and fine feature analysis of the signal.

Description

technical field [0001] The invention relates to navigation communication signal processing, in particular to a problem of blind estimation of Binary OffsetCarrier (BOC) signal parameters based on cyclic autocorrelation. Background technique [0002] The Binary Offset Carrier (BOC) signal moves the peak at the center frequency of the power spectrum of the original PSK (Phase Keying) modulation signal to both sides of the center frequency, making the original center main peak become two later on both sides The main peak, thereby eliminating the interference between the common frequency band signals, it is because of the good spectrum splitting characteristics of the BOC signal that the BOC signal is widely used in the navigation systems of various countries, and because this technology can make the system have better Capturing tracking performance and higher positioning and navigation accuracy, so it is favored by various navigation countries. According to the latest Galileo ...

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to solve the defects of large transfer error in BOC signal parameter estimation and poor estimation performance under low signal-to-noise ratio in the prior art, and proposes an estimation method based on cyclic autocorrelation, which solves the problem The Problem of Blind Estimation

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