Abstract
Aiming at the problem of reliability reduction of signal sorting in terms of the traditional five parameters and intrapulse feature in a complex electromagnetic environment, a new signal sorting method based on radar coherent characteristics is proposed. The main idea of this method is using spectrum analysis to obtain the spectrum images of coherent and noncoherent signals. Image-processing technology is used to extract the feature difference between the two spectrum images, and the central-moment feature is introduced to describe this difference. Through simulation analysis, the feasibility of using the central-moment feature as the coherent feature for signal sorting was proved. In order to check the effectiveness of the proposed feature, a number of simulations were conducted to demonstrate the sorting capability in terms of the coherent feature. From the simulations, it can be seen that the proposed feature not only can be used as a new feature for signal sorting but also that it can be utilized as a supplement for five typical parameters and the intrapulse feature to improve the sorting accuracy rate. Simulations also showed the proposed method could achieve satisfactory sorting results in a low signal-to-noise ratio (SNR). When the SNR was 5 dB, the sorting accuracy rate could reach 98%.
Highlights
Signal sorting is an important part in the electronic support system (ESM); the sorting level has become an important symbol to measure the technology level of the reconnaissance equipment [1,2]
Simulation Experiment 2: In order to demonstrate the adaptability of the feature (NCM)-extraction algorithm for other signal types, take 200 groups of coherent and noncoherent simulation signals; signal types are linear frequency modulation (LFM) with a bandwidth (BW) of 10 MHz and frequency-agile signal (FAS), and each pulse train has two frequency values
Aiming at the problem of low sorting accuracy of the traditional five feature parameters in signal sorting, a new feature-extraction method based on the coherent characteristics of coherent radar was proposed in this paper
Summary
Signal sorting is an important part in the electronic support system (ESM); the sorting level has become an important symbol to measure the technology level of the reconnaissance equipment [1,2]. Many studies are on the intrapulse feature, such as entropy [13], resemblance coefficient [14], wavelet gray matrix feature [15,16], fractal feature [17] and so on To some extent, these methods have achieved some satisfactory results. Proposed a novel radar-signal-recognition method based on the image feature of Choi–Williams time–frequency distribution. On the basis of the research mentioned above, in view that coherence is an important characteristic of today’s modern radar [22], a new signal-sorting method based on coherent characteristics is proposed. The feasibility of utilizing the coherent characteristic as the feature parameter for signal sorting has been proved.
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