PSK (phase shift keying) modulation recognition method based on wave form transformation

Abstract

The invention provides a PSK (phase shift keying) modulation recognition method based on wave form transformation. The method is highly applicable and allows higher recognition rate for signals to be recognized, under the condition of a lower signal-to-noise ratio. By making full use of features of baseband signals, instantaneous phase is transformed and is accordingly distinguished very evidently (about two order of magnitude occur before and after transformation), recognition effect is greatly improved, and a judgment threshold is very easy to select. In addition, the method is successfully transplanted to a hardware platform of a medium frequency processing module of a spectral monitoring receiver and is verified by an RS vector signal source test.

Description

technical field [0001] The invention belongs to the technical field of signal modulation, in particular to a PSK modulation identification method based on waveform transformation. Background technique [0002] In recent years, the modulation recognition of communication signals has become a research hotspot in wireless communication, and it has great application prospects, especially in the field of military communication. As the research on electronic countermeasure technology continues to heat up, there is an urgent need for research on the automatic identification technology of modulated signals, which are widely used in: signal confirmation, interference identification, radio interception, electronic countermeasures, signal monitoring and threat analysis and other fields. Currently the most attractive implementation platforms are software defined radios and other reconfigurable communication systems. [0003] The existing algorithms can be roughly divided into two categ...

AI Technical Summary

Problems solved by technology

[0041] In the actual test process, it is found that under different signal-to-noise ratios, signal bandwidths, and data rates, the statistical characteristic values ​​will change, although the statistics of different modulation signals in the decision branch The size relationship of the eigenvalues ​​remains unchanged, but the specific values ​​fluctuate greatly. Therefore, it is not possible to obtain satisfactory recognition results directly according to the recognition threshold in the literature, and it is difficult to exhaust all application situations by using a variable threshold.

However, the recognition rate in most references is obtained under the conditions of fixed signal-to-noise ratio, signal bandwidth, data rate, etc., which cannot meet the application requirements of identifying unknown signal modulation methods in practical applications.

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