Nyquist folding digital receiver for signal interception

Long, Kun; Zeng, Deguo; Tang, Bin; Gui, Guan

doi:10.1587/elex.11.20120158

Cited by 4 publications

(2 citation statements)

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“…In order to process the NYFR output easier, the synchronous NYFR structure with a simplified LOS has been designed [9]. In addition, other designs of the LOS modulation type have been investigated [10, 11].…”

Section: Introductionmentioning

confidence: 99%

Estimation of both Nyquist zone index and code rate for BPSK radar signal intercepted by Nyquist folding receiver

Qiu

Wang

Zhu

et al. 2017

IET Radar, Sonar & Navigation

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Section: Introductionmentioning

confidence: 99%

Estimation of both Nyquist zone index and code rate for BPSK radar signal intercepted by Nyquist folding receiver

Qiu

Wang

Zhu

et al. 2017

IET Radar, Sonar & Navigation

Self Cite

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“…Synchronous NYFR (SNYFR) structure using simplified LOS has been proposed and its output can be processed more easily because of the synchronous LOS [ 8 ]. Other LOS modulation types such as binary phase shift keying (BPSK) LOS and noise sequences are proposed [ 9 , 10 ], which can improve the performance of NYFR because the bandwidths of these LOS modulations remain unchanged.…”

Section: Introductionmentioning

confidence: 99%

A parameter estimation algorithm for LFM/BPSK hybrid modulated signal intercepted by Nyquist folding receiver

Qiu

Wang

Zhu

et al. 2016

EURASIP J. Adv. Signal Process.

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Nyquist folding receiver (NYFR) is a novel ultra-wideband receiver architecture which can realize wideband receiving with a small amount of equipment. Linear frequency modulated/binary phase shift keying (LFM/BPSK) hybrid modulated signal is a novel kind of low probability interception signal with wide bandwidth. The NYFR is an effective architecture to intercept the LFM/BPSK signal and the LFM/BPSK signal intercepted by the NYFR will add the local oscillator modulation. A parameter estimation algorithm for the NYFR output signal is proposed. According to the NYFR prior information, the chirp singular value ratio spectrum is proposed to estimate the chirp rate. Then, based on the output self-characteristic, matching component function is designed to estimate Nyquist zone (NZ) index. Finally, matching code and subspace method are employed to estimate the phase change points and code length. Compared with the existing methods, the proposed algorithm has a better performance. It also has no need to construct a multi-channel structure, which means the computational complexity for the NZ index estimation is small. The simulation results demonstrate the efficacy of the proposed algorithm.

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