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

Qiu, Zhaoyang; Wang, Pei; Zhu, Jun; Tang, Bin

doi:10.1049/iet-rsn.2017.0184

Cited by 7 publications

(7 citation statements)

References 16 publications

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“…In this subsection, the MCF is analysed. The MCF can estimate the NZ indexes directly for several types of radar signals intercepted by the NYFR [13, 18]. We assume the ADC sampling frequency is

f_{ADC}

, the sampling interval is

T_{ADC} = 1 / f_{ADC}

, the number of points in one code is

N_{1} = T_{c} / T_{ADC}

, and the total number of signal points is

N = T / T_{ADC}

.…”

Section: Analysis Of Existing Methodsmentioning

confidence: 99%

“…Because the unknown parameter in the added SFM component in ( 3) is the NZ index, estimating the NZ index firstly can simplify the hybrid modulation signal processing. Presently, the main existing methods of NZ index estimation are the multiple channel method [12] and the matching component function (MCF) [13,18]. In addition, the local high-order phase function (LHPF) [19] has the optimal transformation kernel for SFM component, and it can be used to estimate the signal that contains SFM part as well.…”

Section: Analysis Of Existing Methodsmentioning

confidence: 99%

“…In addition, the photonic NYFR structure [10] and the NYFR output noise properties [11] are investigated. In terms of processing the radar signal intercepted by the NYFR, the mono-pulse radar signal, the binary phase coded signal, the linear frequency modulation signal and the hybrid modulation radar signal are investigated [12][13][14][15][16]. However, for the FSK radar signal intercepted by the NYFR, there are only a few studies in the literature.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Parameter estimation of frequency shift keying radar signal intercepted by Nyquist folding receiver using periodic linear frequency modulation local oscillator

Qiu

Wang

Sun

et al. 2021

IET Radar Sonar & Navi

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Frequency shift keying (FSK) signal has been widely used in modern radar systems. To intercept the FSK radar signal with a high interception probability, radar reconnaissance receiver should have an ultra-wideband receiving ability. The Nyquist folding receiver (NYFR) is a novel non-cooperative ultra-wideband receiver and it requires a small amount of equipment. When the FSK radar signal is intercepted by the NYFR, the corresponding output is a hybrid modulation signal. Therefore, it is necessary to investigate the parameter estimation of FSK radar signal intercepted by the NYFR. Herein, based on the NYFR using sinusoidal frequency modulation local oscillator (LO), the drawbacks of several existing parameter estimation methods are first analysed. To overcome these drawbacks, the NYFR architecture is improved by changing the LO modulation type to periodic linear frequency modulation. Then, based on the improved NYFR, a novel parameter estimation approach is proposed according to the LO modulation characteristics and the template matching rule. The proposed method is suitable for different kinds of common FSK radar signal code schemes and its computational load is low. At last, several simulation results show the merits of the proposed method.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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f_{ADC}

, the sampling interval is

T_{ADC} = 1 / f_{ADC}

, the number of points in one code is

N_{1} = T_{c} / T_{ADC}

, and the total number of signal points is

N = T / T_{ADC}

.…”

Section: Analysis Of Existing Methodsmentioning

confidence: 99%

Section: Analysis Of Existing Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Parameter estimation of frequency shift keying radar signal intercepted by Nyquist folding receiver using periodic linear frequency modulation local oscillator

Qiu

Wang

Sun

et al. 2021

IET Radar Sonar & Navi

Self Cite

View full text Add to dashboard Cite

show abstract

“…At present, there are instruments for weak signal recognition in non-cooperative mode, such as Keysight's N9041B, Rohde & Shwarz's FSP series, and so on. In electronic countermeasures in the military field, BPSK signals are more typical LPI radar signals and common communication signals [9], [10]. Detection of BPSK signals without prior information can effectively monitor and interfere with enemy wireless signals.…”

Section: Introductionmentioning

confidence: 99%

Detection Algorithm of BPSK Signal of Parameter-Adjusted Bistable Stochastic Resonance Model Based on Scale Change

et al. 2020

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Given that signal is weakened to a certain extent in the process of noise suppression using mainstream method, and that new noise is introduced by signal processing system, causing the decrease of detection performance, to improve the performance of detection to BPSK signal under the condition of strong noise and no prior information, the detection algorithm of BPSK signal of bistable stochastic resonance model based on scale change is proposed in this study. Using classical bistable stochastic resonance (BSR) system, only low-amplitude and low-frequency periodic signal can be processed. Scale change is first made to BSR in this study, verifying that BSR can be applied to high-frequency BPSK signal under high sampling frequency condition, and nonlinear threshold detection system is designed following Neyman-Pearson criterion to deduce and quantitatively show error rate of detector. Besides, complete flow for signal detection was built by taking it as feedback quantity to adjust the system parameters adaptively. Scale change feasibility and applicability of algorithm proposed in this study were verified through simulation experiment, which lays the theoretical basis for the detection of weak BPSK signal under low signal-to-noise ratio (SNR).

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“…In 2017-2018, more new methods were proposed. For the estimation of the symbol rate of the BPSK signal, Pei et al chose the method based on Hankel-singular value decomposition (SVD) [8]. Kuchumov et al estimated the number element rate of MFSK and MPK signals through subcarrier decomposition of the signal [9].…”

Section: Introductionmentioning

confidence: 99%

Symbol Rate Estimation based on Wavelet Transform and Cyclic Spectrum

Li¹,

Hao²,

Zhang³

2019

Int J Performability Eng

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Aiming at the digital modulation signals such as MASK, MPSK, and MQAM in a Gaussian white noise environment, this paper theoretically analyzes the reason and rule of the appearance of the spectrum of wavelet transform and the symbol rate spectrum line of cyclic spectrum. The simulation results show that the method based on wavelet transform is better than that based on cyclic spectrum, and the SNR threshold of the first method is reduced by 8dB compared with the latter.

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

Cited by 7 publications

References 16 publications

Parameter estimation of frequency shift keying radar signal intercepted by Nyquist folding receiver using periodic linear frequency modulation local oscillator

Parameter estimation of frequency shift keying radar signal intercepted by Nyquist folding receiver using periodic linear frequency modulation local oscillator

Detection Algorithm of BPSK Signal of Parameter-Adjusted Bistable Stochastic Resonance Model Based on Scale Change

Symbol Rate Estimation based on Wavelet Transform and Cyclic Spectrum

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