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

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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