Radar radiation source signal identification method according to three-dimensional entropy characteristic

A signal identification and radiation source technology, applied in the field of signal identification

Inactive Publication Date: 2017-03-22
AIR FORCE UNIV PLA
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Problems solved by technology

[0004] At present, there is no radar emitter signal identification method combined with three-dimensional entropy features in the prior art

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  • Radar radiation source signal identification method according to three-dimensional entropy characteristic
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  • Radar radiation source signal identification method according to three-dimensional entropy characteristic

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Embodiment Construction

[0064] The technical solution of the present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.

[0065] 1 Radiation source signal recognition based on entropy features

[0066] 1.1 Signal preprocessing

[0067] In order to prevent the extracted features from being affected by the carrier frequency and noise of the radiation source signal, it is necessary to perform further preprocessing on the segmented individual pulse data, which mainly includes the following steps [5] :

[0068] Step 1 transforms the pulse data into the frequency domain, and intercepts the part to the right of the center point of the symmetrical amplitude spectrum, which is denoted as f(i), i=1, 2,..., M, where M is 1 / 2 of the length of the pulse data;

[0069] Step 2 normalizes the energy of the signal f(i) according to formula (1):

[0070]

[0071] Step 3 finds the center frequency and effective bandwidth of the signal f'(i) ...

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Abstract

The invention discloses a radar radiation source signal identification method according to a three-dimensional entropy characteristic. The method of the invention is a novel identification method for settling defects in radiation source signal identification based on an in-pulse characteristic. According to the radar radiation source signal identification method, sample entropy, fuzzy entropy and normalized energy entropy are used as a three-dimensional characteristic vector of a signal. The sample entropy is used for describing complexity of a radiation source signal. The fuzzy entropy is used for measuring uncertainty of the signal. Furthermore the normalized energy entropy is utilized for describing distribution condition of the signal energy. According to the radar radiation source signal identification method, characteristic extraction is performed on six typical radar radiation source signals, and furthermore a support vector machine is used for performing classification testing. A testing result proves a fact that the extracted characteristic vector can well realize classification and identification on the radar radiation source signal in a relatively large signal-to-noise range, thereby preventing high effectiveness of the radar radiation source signal identification method.

Description

technical field [0001] The invention belongs to the technical field of signal recognition, and in particular relates to a radar radiation source signal recognition method combined with three-dimensional entropy features. Background technique [0002] Radar emitter signal recognition is an important part of electronic intelligence reconnaissance system (ELINT) and electronic support system (ESM), which directly affects the performance of electronic reconnaissance equipment and is related to subsequent combat decisions. The traditional identification method relies on the conventional five parameters (RF, PA, PW, DOA and TOA), but this method is only suitable for the identification of conventional radar signals under certain conditions, and the identification effect for dense radar signals in complex electromagnetic environments is not good. . Therefore, the current research direction tends to analyze the radar signal intrapulse data, study the intrapulse intentional modulatio...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06F2218/08
Inventor 王世强杨峰张秦李兴成徐彤孙青曾会勇白娟周延年耿林
Owner AIR FORCE UNIV PLA
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