PARAMETER ESTIMATION OF LFM SIGNAL INTERCEPTED BY SYNCHRONOUS NYQUIST FOLDING RECEIVER
Abstract
Abstract—Nyquist folding receiver (NYFR) is a new kind of intercep-tion architecture, which can simultaneously intercept wideband signals in multi-Nyquist zones with one or two analog-to-digital converters (ADCs). A parameter estimation algorithm of the linear frequency modulated (LFM) signal intercepted by an improved NYFR is pre-sented. Firstly, the NYFR is improved by introducing a synchronous mechanism, and we denote this structure as a synchronous NYFR (SNYFR). Secondly, taking LFM as an example, the input and output noise distributions of an SNYFR are discussed. Then, a fast param-eter estimation algorithm is derived from the frequency spectrum of the output signal, and an advice for the design of local oscillator signal is given. Simulations show that the parameter estimation accuracy is close to the maximum likelihood when the signal to noise ratio (SNR) is above −3 dB. 1.
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The method based on RANSAC and FrFT outperformed the spectrum peak search method, the autocorrelation method, and the QMFB method.
“It is clear from the figures that the method based on RANSAC and FrFT outperformed the other methods”
The spectrum peak search method is applicable to narrowband signals, such as a single carrier signal intercepted by NYFR.
“the spectral peak search method is applicable to narrowband signals, such as a single carrier signal intercepted by NYFR.”
The spectrum peak search method can correctly estimate NZ only when SNR > 1 dB.
“The spectrum peak search method has a requirement for high SNR, and NZ can be correctly estimated only when SNR > 1 dB.”
Cited by
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“As long as the modulation information of the LOS remains unchanged, we can simplify the LOS as [8]”
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“References [8] and [9] regard the NYFR architecture as a modulated sampling scheme.”
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“Based on (1), when the FSK radar signal in (2) is intercepted by the NYFR, the corresponding NYFR output can be expressed as [5, 9].”
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“Detection of RF signals poses a significant risk to transmission success and privacy of both sender and recipient [2], thus LPD methods”
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“where v000ðnÞ is also the white Gaussian noise based on [9].”
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“After the pre-select filter H(ω), mixed with the pulse train and the interpolation filter F (ω), the output signal of NYFR can be expressed as [9]:”
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“In the SNYFR, the LOS is: θ − = = + +∑ 1 0 ( ) exp{j[2π / 2 [2π ( )]]} M s sm p t f t m f t t (2) where θ( )t is the instantaneous phase of the zone 1, and the spectrum of θ( )t is almost symmetric about sf (Zeng et al., 2011), =I sB Mf .”
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“With the rapid development of signal and image processing technology, theories and methods for estimation and recognition have also made great progress [5], [6], [7], [8], [9], [10].”
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- Authors
- Zeng, D., Cheng, H., Zhu, J., & Tang, B.
- Venue
- Progress In Electromagnetics Research C
- Publisher
- The Electromagnetics Academy
- Published
- 2011
- Volume
- 23
- Pages
- 69-81
- ISSN
- 1937-8718 (ISSN-L)
- OpenAlex
- W2042128058
- Cited by
- 29
- References
- 0
- Citations by year
- 2025: 2 · 2024: 1 · 2023: 3 · 2022: 5 · 2021: 2 · 2020: 1 · 2019: 2 · 2018: 4 · 2017: 5 · 2016: 3
- FWCI
- 0.58
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Progress In Electromagnetics Research C (publishedVersion)
- Topics
- Physical Sciences › Engineering › Aerospace Engineering › Radar Systems and Signal Processing
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Signal Processing Techniques
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Electrical Measurement Techniques
- Keywords
- linear frequency modulated signals, parameter estimation, analog-to-digital converter, noise distribution, frequency spectrum, maximum likelihood estimation
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