Adaptive time-frequency synchronization compression method based on Rayleigh entropy

Abstract

The invention discloses a self-adaptive time-frequency synchronous compression method based on Rayleigh entropy. The self-adaptive time-frequency synchronous compression method utilizes the Rayleigh entropy to measure the aggregation of local energy of a signal, estimates an optimal window parameter sequence suitable for time-frequency analysis of the signal, improves the aggregation through time-frequency synchronous compression, and realizes separation of multi-component signals. The self-adaptive time-frequency synchronous compression method comprises the specific steps of: 1, collecting asignal; 2, preprocessing the signal; 3, selecting a window parameter set suitable for a signal point sequence; 4, calculating the Rayleigh entropy; 5, acquiring an optimal window function at a local moment; 6, acquiring a smooth optimal window parameter sequence; 7, carrying out self-adaptive synchronous compression and short-time Fourier transform; 8, and acquiring component signals. The self-adaptive time-frequency synchronous compression method overcomes the problems that the traditional separation method is suitable for single signals, the signal form is fixed and the anti-noise capacity is poor, is conductive to separating multi-component unstable signals, and further improves the separation robustness of the multi-component signals.

Description

technical field [0001] The invention belongs to the technical field of communication, and further relates to an adaptive time-frequency synchronization compression method based on Rayleigh entropy in the technical field of signal and information processing. The invention can be used to separate multi-component radar radiation source signals received by a radar reconnaissance receiver. Background technique [0002] In recent years, with the development of radar technology and the wide application of electronic equipment such as navigation, communication, and electronic countermeasures, the electromagnetic environment of the battlefield has become increasingly complex. In radar electronic reconnaissance, the receiver may intercept multiple radar radiation source signals at the same time, and the signal pulse density is high and the waveform is changeable, resulting in signal overlap in the time-frequency domain, making the traditional time-domain or frequency-domain It has be...

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Problems solved by technology

[0006] The purpose of the present invention is to overcome the deficiencies of the above-mentioned prior art, on the basis of traditional short-time Fourier transform, propose a kind of adaptive time-frequency synchronous compression method based on Rayleigh entropy, aim at low signal-to-noise ratio noise, radiation Accurate separation of multi-component signals in the case of complex source signals

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