Parameter estimation of LFM signals intercepted by a composite local oscillation SNYFR
Abstract
Nyquist Folding Receiver (NYFR) is a novel ultrawideband interception receiver architecture, which can sample a large range wideband signal by single Analog-to-Digital Converter (ADC). And the Synchronous Nyquist Folding Receiver (SNYFR) is an improved structure of NYFR. In this paper, a new SNYFR structure based on composite Sinusoidal Frequency Modulated (SFM) Local Oscillator (LO) is proposed. For Linear Frequency Modulated (LFM) signals intercepted by this SNYFR, a Nyquist Zone (NZ) estimation and parameter estimation algorithm based on instantaneous autocorrelation is deduced. The complexity of the algorithm is lower, which reduces the difficulty of resolving the LFM/SFM hybrid modulated signals after the ADC of SNYFR. Computer simulation shows that effective detection of multi-component LFM signals and accurate parameters estimation can be achieved by the proposed algorithm when the signal to noise ratio (SNR) is better than -8dB.
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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 autocorrelation method requires specific autocorrelation interval, which is not applicable to the signal less than an LO frequency modulation period.
“the autocorrelation method requires specific autocorrelation interval, which is not applicable to the signal less than an LO frequency modulation period.”
Cites
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PARAMETER ESTIMATION OF LFM SIGNAL INTERCEPTED BY SYNCHRONOUS NYQUIST FOLDING RECEIVER
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Parameter Estimation of SAR Signal Based on SVD for the Nyquist Folding Receiver
Li, T., Zhu, Q., & Chen, Z. (2018) · Sensors · doi:10.3390/s18061768 · Cited by 8 · see citing works
Self-citationLiu, X., Li, T., Fan, X., & Chen, Z. (2019) · Sensors · doi:10.3390/s19061477 · Cited by 8 · see citing works
“We compared the proposed method with the spectrum peak search method [21], the autocorrelation method [22] and the QMFB method [23] described in Section 1.”
BackgroundMethodInfluentialSelf-citation
- Authors
- Li, T., Fan, X., Zhu, Q., & Chen, Z.
- Affiliations
- National University of Defense Technology (CN)
- Venue
- 2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)
- Publisher
- IEEE
- Published
- 2017-11
- Volume
- 49
- Pages
- 392-397
- OpenAlex
- W2784001966
- Cited by
- 9
- References
- 11
- Citations by year
- 2025: 2 · 2023: 3 · 2022: 1 · 2020: 1 · 2019: 1 · 2018: 1
- FWCI
- 1.44
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) (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 › Aerospace Engineering › Advanced SAR Imaging Techniques
- Keywords
- linear frequency modulated signals, parameter estimation
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