A Quasioptimum Algorithm for Narrow-Band Signal Detection against Random Noise Background

2004 ◽  
Vol 61 (7-12) ◽  
pp. 999-1012
Author(s):  
Vladimir G. Galushko ◽  
Yu. M. Yampolski
2021 ◽  
Vol 336 ◽  
pp. 04011
Author(s):  
Qian Cheng ◽  
Kexian Gong ◽  
Min Zhang ◽  
Xiaoyan Liu

Aiming at the influence of time-varying and frequency-varying of noise on the signal detection performance in the short wave wide-band channel and the large amount of computation in the channelized receiver model of the traditional low pass filter bank, a cross-channel reconfigurable multi-phase high-efficiency channelization method based on morphological processing is proposed in this paper .Firstly, The wide-band signal is coarsely filtered by the multi-phase structure of the uniform filter bank which is determined by the protection interval between signals, and then the bandwidth and position of the signal are determined by improved morphological operation and threshold decision of the power spectrum. Finally, the sub-band signals across the channel are combined to complete the approximate reconstruction of the sub-signals. Compared with the computational complexity of traditional channelized receiver model, the results show that this method has lower computational complexity. The simulation results show that the method can achieve the approximate constant false alarm rate(CFAR) under the colored noise environment, and has higher detection capability under different signal-to-noise ratios(SNR).


2011 ◽  
Vol 1 (27) ◽  
Author(s):  
В.М. Шутко ◽  
Ю.М. Барабанов ◽  
C.Л. Квасюк
Keyword(s):  

1982 ◽  
Vol 72 (6) ◽  
pp. 1821-1826 ◽  
Author(s):  
Yoshiko Ito ◽  
H. Steven Colburn ◽  
Carl L. Thompson
Keyword(s):  

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