Parameter estimation of LFM signal intercepted by improved dual‐channel Nyquist folding receiver

Li, Tao; Zhu, Quing; Fan, Xiaolei; Chen, Zengping

doi:10.1049/el.2018.0179

Cited by 12 publications

(11 citation statements)

References 6 publications

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“…Considering f cp ≠ f cq , the value of the non-exponential part in ( 14) is possibly small or negative. Therefore, according to (14), the value of X 1 may be small because the carrier frequencies of the intercepted FSK…”

Section: Matching Component Functionmentioning

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 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

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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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Section: Matching Component Functionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

View full text Add to dashboard Cite

show abstract

“…The result can be reshape to a

matrix.

The singular value decomposition (SVD) of

can be computed as

[ 21 ], where

is an

diagonal matrix, and we call it the singular values matrix. The singular values are

, and

.…”

Section: Parameter Estimation Based On Svdmentioning

confidence: 99%

“…Consequently, conventional methods are not applicable for this case, and no better algorithm has been reported. In Reference [ 21 ], an improved dual-channel NYFR architecture was proposed to reduce the difficulty of NYFR output signal processing. However, this scheme introduced an auxiliary channel to the NYFR prototype structure, which doubled the hardware size.…”

Section: Introductionmentioning

confidence: 99%

Parameter Estimation of SAR Signal Based on SVD for the Nyquist Folding Receiver

Zhu

Chen

2018

Sensors

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The Nyquist Folding Receiver (NYFR) is a novel ultra-wideband (UWB) receiver structure that can realize wideband signal monitoring with fewer components. The NYFR induces a Nyquist zone (NZ)-dependent sinusoidal frequency modulation (SFM) by a modulated local oscillator (LOS), and the intercepted linear frequency modulated (LFM) synthetic aperture radar (SAR) signal will be converted into an LFM/SFM hybrid modulated signal. In this paper, a parameter estimation algorithm is proposed for the complicated NYFR output signal. According to the NYFR prior information, a chirp singular value ratio (CSVR) spectrum method based on singular value decomposition (SVD) is proposed to estimate the chirp rate directly before estimating the NZ index. Then, a fast search algorithm based on golden section method for the CSVR spectrum is analyzed, which can obviously reduce the computational complexity. The simulation shows that the presented algorithm can accurately estimate the parameters of the LFM/SFM hybrid modulated output signal by the NYFR.

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“…In recent years, numerous researchers have explored the parameter estimation problem of chirp signals from different aspects [1], [9], [12]- [22]. Inspired by the recentlydeveloped sparse reconstruction method [23]- [28], we propose a fast and high accuracy parameter estimation method for LFM signals in the FrFD based on orthogonal matching pursuit (OMP).…”

Section: Introductionmentioning

confidence: 99%

Parameter Estimation of Fractional Bandlimited LFM Signals Based on Orthogonal Matching Pursuit

Wang

Luo

2019

IEICE Trans. Fundamentals

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Parameter estimation theorems for LFM signals have been developed due to the advantages of fractional Fourier transform (FrFT). The traditional estimation methods in the fractional Fourier domain (FrFD) are almost based on two-dimensional search which have the contradiction between estimation performance and complexity. In order to solve this problem, we introduce the orthogonal matching pursuit (OMP) into the FrFD, propose a modified optimization method to estimate initial frequency and final frequency of fractional bandlimited LFM signals. In this algorithm, the differentiation fractional spectrum which is used to form observation matrix in OMP is derived from the spectrum analytical formulations of the LFM signal, and then, based on that the LFM signal has approximate rectangular spectrum in the FrFD and the correlation between the LFM signal and observation matrix yields a maximal value at the edge of the spectrum (see Sect. 3.3 for details), the edge spectrum information can be extracted by OMP. Finally, the estimations of initial frequency and final frequency are obtained through multiplying the edge information by the sampling frequency resolution. The proposed method avoids reconstruction and the traditional peak-searching procedure, and the iterations are needed only twice. Thus, the computational complexity is much lower than that of the existing methods. Meanwhile, Since the vectors at the initial frequency and final frequency points both have larger modulus, so that the estimations are closer to the actual values, better normalized root mean squared error (NRMSE) performance can be achieved. Both theoretical analysis and simulation results demonstrate that the proposed algorithm bears a relatively low complexity and its estimation precision is higher than search-based and reconstruction-based algorithms.

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Parameter estimation of LFM signal intercepted by improved dual‐channel Nyquist folding receiver

Cited by 12 publications

References 6 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

Parameter Estimation of SAR Signal Based on SVD for the Nyquist Folding Receiver

Parameter Estimation of Fractional Bandlimited LFM Signals Based on Orthogonal Matching Pursuit

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