Phase measurement method based on intelligent tracking correlation operation

Abstract

The invention discloses a phase measurement method based on intelligent tracking correlation operation, and belongs to the field of electronic countermeasures. The method comprises the following steps: firstly, constructing N paths of acquisition data vectors, and measuring the center frequency and bandwidth of a first path of signals; secondly, generating a group of bandwidth-adaptive low-pass filter coefficients according to the bandwidth intelligent matching of the first path of signals, and constructing an intelligent tracking filtering vector according to the center frequency of the first path of signals; thirdly, conducting convolution on the N paths of collected data vectors and the intelligent tracking filtering vector to obtain N paths of intelligent tracking data vectors; fourthly, performing correlation operation on the intelligent tracking data vectors from the second path to the Nth path and the intelligent tracking data vector of the first path; and finally, respectively extracting phase information of related results, namely phase differences between the second path to the Nth path and the first path.

Description

technical field [0001] The invention belongs to high-precision phase measurement technology, in particular to a phase measurement method based on intelligent tracking correlation calculation. Background technique [0002] In the field of electronic countermeasures, phase, as a typical signal characteristic parameter, plays a very important role in the directions of target direction finding and individual identification of radiation sources. At present, most of the domestic phase measurement systems are based on analog circuit design. Such phase measurement systems often have low precision, large volume, and high cost. Thanks to the development of large-scale digital integrated circuits, digital phase measurement technology is becoming more and more mature, and its advantages such as high precision and good system stability make it widely used. [0003] There are mainly two methods of digital phase measurement technology, fast Fourier transform (FFT) and correlation operatio...

AI Technical Summary

Problems solved by technology

The theory of fast Fourier transform is based on the fact that the phase difference of multi-channel sine wave signals is equal to the phase difference of the discrete spectrum of each sampling sequence at the maximum spectral line. Significantly reduced; the correlation algorithm is based on the cross-correlation function and autocorrelation function of multi-channel sine wave signals, and solves the phase difference of multi-channel signals by arccosine, which effectively utilizes the spectrum energy in the broadband, but the noise in the broadband leads to a decrease in accuracy

[0004] Aiming at the problem of insufficient precision of fast Fourier transform method and correlation algorithm, the present invention proposes a phase measurement method based on intelligent tracking correlation operation

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