Blind Estimation Method of Frequency Hopping Parameters of Hybrid Network Station Based on stft-spwvd

Abstract

The invention discloses a method for blind estimation of frequency hopping parameters of hybrid network stations based on short-time Fourier transform STFT and smooth pseudo-Wegener distribution SPWVD, which is used to solve the problem of frequency hopping parameter estimation under low signal-to-noise ratio conditions in the prior art Problems with low precision and high complexity. The implementation plan is as follows: first, use the short-time Fourier transform to transform the received signal of the antenna into the time-frequency domain, and perform adaptive noise reduction processing on the time-frequency signal to increase the anti-noise performance of the system; secondly, through the K-means mean value The frequency is finely estimated by the clustering algorithm; then, the time-frequency information is extracted according to the finely estimated frequency to obtain a rough time-hopping estimate; finally, the smoothing pseudo-Wigner transform and the modified truncation threshold are used to fine-tune the time-hopping time. The invention reduces the complexity, increases the frequency resolution and improves the estimation accuracy of the hopping time, and can be used for the parameter estimation of the frequency hopping signal in a complex electromagnetic environment.

Description

technical field [0001] The invention belongs to the technical field of signal processing, and in particular relates to a method for estimating parameters of frequency hopping signals, which can be used for parameter estimation of frequency hopping signals in complex electromagnetic environments. Background technique [0002] Because the frequency hopping signal has the characteristics of strong anti-interference and anti-fading ability, low interception rate and easy realization of multiple access networking, it is widely used in the field of wireless communication, and it also poses a severe challenge to communication countermeasures and investigations. The parameter estimation is A key step in the detection of frequency hopping signals. [0003] The carrier frequency hopping technology of frequency hopping signals has been more and more applied in the field of frequency hopping communication and reconnaissance. Due to the strong anti-jamming ability of frequency hopping ra...

AI Technical Summary

Problems solved by technology

[0008] The purpose of the present invention is to provide a STFT-SPWVD-based blind estimation method for frequency hopping parameters of hybrid network stations, to solve the problem that the above-mentioned prior art does not consider the frequency conversion time of the actual communication system and the hybrid networking mode, which is not easy for engineering implementation, and The estimation accuracy of frequency hopping signal parameters is low, and the estimation complexity is high.

Images