Radar detection signal multi-dimensional feature cluster visual display method

Abstract

The invention relates to a radar detection signal multi-dimensional feature cluster visual display method comprising the following steps: according to the parameter (frequency, pulse width, position, repetition period and amplitude) and other pulse descriptor word (PDW) information which a radiation source is concerned about, carrying out partition clustering by use of the frequency value of PDW data; when the number of PDWs in any cluster reaches a threshold, clustering the pulse width; and when the PDWs are associated, calculating the time difference between the associated pulses, and coloring the z-axes of the associated PDWs in a color corresponding to the cluster value in five drawn maps. Multi-dimensional feature maps, including a time-amplitude-color map, a time-frequency-color map, a time-pulse width-color map, a time-time difference-color map and a position-amplitude-color map, are drawn for the associated PDWs by use of the color values. For the time-domain and frequency-domain change characteristics of complex system radar signals which are difficult to sort, the visual method can well reflect the signal features.

Description

technical field [0001] The invention belongs to the field of radar visual display, in particular to a multi-dimensional characteristic clustering visual display method of radar detection signals. Background technique [0002] Modern radars are developing in the direction of multi-function and multi-purpose. A radar may have multiple working states and systems. At the same time, in order to improve its own performance and anti-jamming needs, it often adopts various complex waveform designs. The intrapulse modulation characteristics of radar signals include linear frequency modulation, nonlinear frequency modulation, two-phase encoding, four-phase encoding, frequency encoding, etc.; the interpulse modulation characteristics include frequency domain modulation and time domain modulation, and the frequency domain modulation characteristics include interpulse frequency agility , pulse group frequency agility, pulse-to-pulse frequency modulation, simultaneous frequency diversity a...

AI Technical Summary

Problems solved by technology

In addition, there is a lot of noise in the transmission and reception of the radar emitter signal, and the SNR changes greatly, which greatly increases the difficulty of sorting and processing.

[0003] At present, in terms of signal display methods, there was no visual display method for radar signal pulse descriptors in the past. It mainly relied on sorting and signal statistics results, and it was impossible to simultaneously observe the multi-dimensional characteristics of signals in the time domain and frequency domain. It is impossible to verify the front-end The accuracy of signal detection and the correctness of sorting processing results; in terms of drawing controls, firstly, there is no high-speed refresh drawing control for the data of large pulse flow density, and secondly, for different types of three-dimensional graphics, the correlation display and color between graphics Unique display skills in display and other aspects, none of the existing controls can meet this requirement

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