Attenuation interval analysis of the jamming jam algorithm and its improvement

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Journal of Vibration and Shock ›› 2018, Vol. 37 ›› Issue (14) : 108-114.

WANG Lin-yu^1.2, ZHENG En-ming¹, CHEN Xin-hua¹, HUANG Haining¹

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Abstract

In order to suppress the mainlobe interferences, the jamming jam algorithm was proposed. In the method, a block matrix based on the phase difference characteristics of a uniform linear array, was constructed, by which the received data of the linear array were pretreated and then mainlobe interferences were removed by beamforming. However, when utilizing the constructed block matrix to suppress the mainlobe interferences, different degree attenuations on the total output energy, signal, noise and signal to noise ratio (SNR), may be caused, which results in fairly great differences in the beamforming output results, and the worsening of the detection performance in some azimuth interval. In order to effectively analyze the attenuation interval of the jamming jam algorithm, and improve the antijamming performance and detection performance, the basic principle of the jamming jam algorithm, was introduced, the change functions of the total output energy, signal, noise and SNR after the interferences suppression, were deduced, the related factors affecting attenuation intervals were discussed and a corresponding improvement method for the jamming jam algorithm was proposed. The theoretical analysis and data processing results show that when using the jamming jam algorithm to suppress mainlobe interferences, due to the influence of attenuation interval, the weak targets in the attenuation interval will not be detected effectively. The improvement method can effectively achieve the detection of the weak targets with adjacent interference 2° by reducing the attenuation interval and the difference in output background energy, and the detection performance of the jamming jam algorithm is raised.

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Main-lobe interferences suppression / Jamming jam method / Attenuation interval / Detection performance / Weak target detection

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WANG Lin-yu1.2, ZHENG En-ming1, CHEN Xin-hua1, HUANG Haining1. Attenuation interval analysis of the jamming jam algorithm and its improvement[J]. Journal of Vibration and Shock, 2018, 37(14): 108-114

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