Radar target identification method based on time-frequency distribution instantaneous frequency edge features
A technology of instantaneous frequency and edge features, which is applied in the field of radar high-resolution range image time-frequency distribution characteristics and instantaneous frequency edge characteristics, can solve the problems of further improvement in recognition effect, large amount of calculation, redundant HRRP time-frequency distribution characteristics, etc. Achieve the effect of improving target recognition rate and avoiding information redundancy
Active Publication Date: 2018-09-04
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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[0006] Radar high-resolution range profile (HRRP) is a typical non-stationary signal. Traditional HRRP-based identification methods mostly use HRRP's simple time domain or frequency domain as identification features, although there are also time-frequency distribution features based on HRRP for identification. , but the HRRP time-frequency distribution features are redundant and the amount of calculation is large, and the recognition effect needs to be further improved
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[0036] Step 1: Construct training sample Y and perform processing to eliminate translation sensitivity and amplitude sensitivity.
[0037] The HRRP data used in the present invention is the field measurement data of a high-resolution broadband radar used by a domestic research institute, including the "Jacques-42" medium jet aircraft, the "Certificate" small jet aircraft, and the "An-26" small propeller aircraft. HRRP data for this target. The HRRP data of each target is a matrix of 520 rows and 256 columns. Among them, the number of rows 520 represents that there are 520 range images, and the number of columns 256 represents that each range image has 256 distance units.
[0038] In order to explore the influence of the ratio of the number of training samples to the number of test samples (training-testing ratio) on the recognition effect, under the conditions of training-testing ratios of 1:3, 1:2, 1:1, 2:1, 3:1 Conduct identification experiments. The training-testing ratio is ...
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The invention discloses a radar target identification method based on time-frequency distribution instantaneous frequency edge features, which belongs to the technical field of radar target identification, and relates to technologies of radar high-resolution range profile time-frequency distribution features and instantaneous frequency edge features. The radar target identification method comprises the steps of: firstly, preprocessing a radar range profile, and eliminating translation sensitivity and amplitude sensitivity of the radar range profile; secondly, calculating Wigner-Ville distribution of the radar range profile, and suppressing a cross interference term in the Wigner-Ville distribution by adopting a time-frequency reassignment technology; thirdly, calculating instantaneous frequency edge features of time-frequency distribution after time-frequency reassignment, and adopting a principal component analysis algorithm to obtain a feature matrix of the instantaneous frequency edge features; and finally, classifying test samples by means of a K neighbor classifier. Thus, the radar target identification method simultaneously utilizes time and frequency variation information ofthe range profile, avoids the difficulties of information redundancy and large calculation amount caused by directly taking the time-frequency distribution as identification features, and improves the target identification rate.
Description
Technical field [0001] The invention belongs to the technical field of radar target recognition, and relates to the technology of radar high-resolution range image time-frequency distribution characteristics and instantaneous frequency edge characteristics. Background technique [0002] The frequency of a stationary signal is single and constant, and its distribution parameter or distribution law does not change with time. The Fourier transform of the stationary signal can analyze its frequency domain information, and it can also transform the frequency domain signal into the time domain through the inverse Fourier transform. The frequency and statistical characteristics of an unsteady signal (transient signal) will change with time, and its frequency will change. The Fourier transform gives the signal frequency distribution on the frequency spectrum, and gives the time information of the frequency, that is, the transform result only shows whether there is a certain frequency co...
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IPC IPC(8): G01S7/41
CPCG01S7/41
Inventor 于雪莲顾成玲赵林森唐永昊曲学超
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA