Carrier Parameter Estimation Method Based on Eye Diagram and Information Entropy

Abstract

The invention provides a carrier parameter estimation method based on an eye diagram and information entropy and mainly solves the problems of poor instantaneity of carrier parameter estimation and low estimation accuracy in the prior art. According to the implementation scheme, the method comprises the following steps: carrying out MPSK modulation on a randomly-generated series of binary information sequences and sending the binary information sequences at a sending end; calculating the eye diagram entropy according to the received data, and making a change graph of the eye diagram entropy atdifferent timing phases; calculating the eye diagram entropy and an average value of the two symbol periods according to the received data, and making a change graph of the average value; according to the received data, making a change graph of constellation entropy under different carrier frequency offset; and finding a point with the minimum entropy value in the three change graphs respectively, wherein the position corresponding to the minimum point is the optimal sampling time of timing recovery, the estimated value of the actual symbol rate and the estimated value of the carrier frequency offset. The method is convenient to implement and high in estimation precision and can be used for a synchronizer integrated with timing recovery, symbol rate, carrier frequency offset estimation and high precision.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to a carrier parameter estimation method, which can be used for timing recovery, symbol rate estimation and carrier frequency offset estimation. Background technique [0002] With the development of modern wireless digital communication technology, there are more and more signals in the limited frequency range, which leads to more and more complex communication environment and increasingly scarce communication resources. Particularly important. Among them, the carrier is one of the important parameters in the communication signal. Accurate estimation of the carrier parameters is the basis for signal analysis, processing and demodulation of the received signal, and will also have a great impact on improving the overall performance of the system. [0003] In a digital receiver, the downsampler follows the matched filter and is triggered by a local clock to ...

AI Technical Summary

Problems solved by technology

However, with the increase of the modulation order of the signal, the probability of occurrence of points on the diagonal line with a large signal-to-noise ratio on the constellation diagram decreases, which makes the estimation time longer and reduces the accuracy of the estimation.

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