Blind Parameter Estimation for Passive Reception of Data Modulated LFM Waveforms

Kaiyu Zhang*, Fraser Coutts, John Thompson

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

The data modulated linear frequency modulated (LFM) waveform is one typical communications and radar signal that supports dual-functional radar-communication (DFRC) system operation. This paper considers a receiver detecting the main signal parameters of the data modulated LFM waveform. Earlier efforts have demonstrated that the discrete chirp-Fourier transform (DCFT) is capable of blind parameter estimation for standard LFM waveforms without data modulation. However, any phase modulation induced by the application of communications data to an LFM waveform may deteriorate the LFM phase information and the recovery of the LFM parameters can become inaccurate. Furthermore, in realistic applications, the transmitter will implement pulse shaping and the receiver may have no prior knowledge of the transmitted phase modulation. To achieve accurate parameter estimation for data modulated LFM waveforms, this paper proposes a non-coherent discrete chirp-Fourier transform (NC-DCFT). Furthermore, based on the NC-DCFT method, we propose the integrated step and segment methods to estimate directly the symbol rate of the data modulated LFM waveform. The simulation section of this paper demonstrates the performance of the NC-DCFT methods relative to the existing Hough transform method and confirms that the former performs better when their numerical computational complexities are roughly equal
Original languageEnglish
Number of pages15
JournalIEEE Transactions on Aerospace and Electronic Systems
Early online date19 Aug 2024
DOIs
Publication statusE-pub ahead of print - 19 Aug 2024

Keywords / Materials (for Non-textual outputs)

  • Chirp
  • Estimation
  • Frequency estimation
  • Phase shift keying
  • Spectrogram
  • Symbols
  • Transforms

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