Signal processing method based on quasi high-order square spectrum

Abstract

The invention discloses a signal processing method based on a quasi high-order square spectrum. The signal processing method based on the quasi high-order square spectrum comprises the steps of: (1),obtaining a time-domain complex baseband signal; (2), obtaining an envelope sequence and a phase sequence of the time-domain complex baseband signal; (3), obtaining a quasi high-order square signal; (4), obtaining the quasi high-order square spectrum of the time-domain complex baseband signal; and (5), obtaining the spectrum refined quasi high-order square spectrum of the time-domain complex baseband signal. According to a quasi high-order square spectrum calculation method adopted in the invention, the spectral line characteristics of the traditional high-order square spectrum are reserved; furthermore, the operation complexity of calculating the high-order square spectrum is greatly reduced; the spectral line characteristic detection performance of the high-order square spectrum is improved; and thus, the identification performance of the high-order square spectrum in the modulation identification aspect is improved. According to the signal processing method based on the quasi high-order square spectrum disclosed by the invention, a spectrum refining method is adopted at the same time; a spectrum near the spectrum line characteristics is refined; therefore, the spectrum distinguishing rate is increased; and the estimation performance of the high-order square spectrum in frequency offset and baud rate estimation aspects is improved.

Description

technical field [0001] The invention belongs to the technical field of communication, and further relates to a signal processing method based on quasi-high-order spectrum in the technical field of wireless communication. The invention can be used in the field of signal processing to realize blind identification of modulation types of wireless signals, estimation of frequency deviation and baud rate. The invention not only has a high spectral line feature extraction rate, but also has low computational complexity, and has wide engineering application value. Background technique [0002] With the development of wireless communication, spectrum resources are becoming scarcer and more modulation patterns are available. Modulation recognition technology can not only be widely used in spectrum sensing, but also monitor spectrum usage resources in real time, thereby improving the utilization rate of spectrum resources. , Modulation identification can also be widely used in militar...

AI Technical Summary

Problems solved by technology

The invention not only maintains the discrete spectral line characteristics of the high-order power spectrum of the signal, but also solves the problem of the weaker discrete spectral lines of the high-order power spectrum and the high computational complexity of the traditional high-order power spectrum as the high-order power of the signal increases. question

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