LS (Least Square) based phase information calculating method in complex environment

Abstract

The invention discloses an LS (Least Square) based phase information calculating method in a complex environment. The method comprises the following steps of simultaneously calculating by adopting short-time chirp-z transform, obtaining signal frequencies, at different moments, of a reference channel through a selected amplitude maximum method and calculating and extracting multiple signal frequencies, exceeding a detection threshold, at the different moments, of the reference channel by adopting a short-time multi-target frequency detection algorithm; and calibrating actual signal frequencies, at the different moments, of the reference channel by adopting a matching discrimination method, which particularly comprises: calculating phase values, corresponding to frequency values of the reference channel at the different moments, of different receiving channels by adopting an LS method. By using the method provided by the invention, the frequency of a useful signal is extracted from a disorderly signal frequency spectrum; a disorderly frequency spectrum brought by random noise and clutter is abandoned; by utilizing the signal frequencies obtained by discriminatory analysis, a mathematic model between an observed signal and a signal initial phase is constructed; and next, the information of the signal initial phase of the corresponding receiving channel is calculated and obtainedby adopting an LS algorithm, so as to be called by other application of target location and the like.

Description

technical field [0001] The invention relates to a method for extracting signal phase features in a complex background, in particular to an LS-based phase information calculation method in a complex environment, and belongs to the technical field of signal phase feature extraction. Background technique [0002] With the development of radar technology, no matter in the electronic countermeasure environment or in civilian radar, phase measurement is used in the processing of various radar data, such as the orientation and positioning of the radar radiation source of the electronic countermeasure squadron, and the detection of moving targets. Tracking and extraction of moving target motion characteristic parameters, vehicle radar target recognition system, automatic driving warning technology, etc. [0003] Radio equipment such as radar, navigation, and electronic countermeasures must use radio orientation technology. Radar uses target echoes to determine the direction of the t...

AI Technical Summary

Problems solved by technology

With the upgrading and application of countermeasures, the observation signal is often accompanied by noise and various types of interference signals and clutter signals. Although the commonly used classic FFT method to solve the phase is simple and easy to implement, its accuracy is relatively low. For interference and clutter environment, the effect is even worse. Wavelet transformation, orthogonal space decomposition and other methods are also used for phase extraction. The calculation time is relatively long, and the accuracy is not ideal, especially for echo signals in complex environments. Extracted phase accuracy is worse

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