Tunable ultra-flat optical-comb-enabled, reconfigurable, and efficient coherent channelized receiver

2020 ◽  
Vol 45 (4) ◽  
pp. 848 ◽  
Author(s):  
Huan Huang ◽  
Ruofan Wang ◽  
Chongfu Zhang ◽  
Yong Chen ◽  
Haifeng Yang ◽  
...  
Keyword(s):  
Channelized Receiver

Photonic RF-Channelized Receiver based on Wideband Parametric Mixers and Coherent Detection

CLEO: 2014 ◽  
2014 ◽  
Author(s):  
Andreas O. Wiberg ◽  
Daniel J. Esman ◽  
Lan Liu ◽  
Evgeny Myslivets ◽  
Nikola Alic ◽  
...  
Keyword(s):  
Coherent Detection ◽  
Channelized Receiver

scholarly journals An efficient wide-band signal detection and extraction method

2021 ◽  
Vol 336 ◽  
pp. 04011
Author(s):  
Qian Cheng ◽  
Kexian Gong ◽  
Min Zhang ◽  
Xiaoyan Liu
Keyword(s):  
Computational Complexity ◽  
Signal Detection ◽  
Filter Bank ◽  
Wide Band ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Channelized Receiver ◽  
Multi Phase ◽  
Receiver Model ◽  
Band Signal

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).

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