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A parameter estimation algorithm for LFM/BPSK hybrid modulated signal intercepted by Nyquist folding receiver.

Zhaoyang Qiu1, Pei Wang1, Jun Zhu1

  • 1School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, China.

EURASIP Journal on Advances in Signal Processing
|September 6, 2016
PubMed
Summary

A new parameter estimation algorithm effectively processes signals from Nyquist folding receivers (NYFRs). This method accurately identifies chirp rate, Nyquist zone index, and LFM/BPSK signal parameters with reduced complexity.

Keywords:
LFM/BPSK hybrid modulated signalNyquist folding receiverParameter estimationSignal characteristics

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Area of Science:

  • Signal Processing
  • Electronic Engineering
  • Communications Systems

Background:

  • Ultra-wideband (UWB) receivers require efficient architectures for wideband signal reception.
  • Linear frequency modulated/binary phase shift keying (LFM/BPSK) signals are low probability interception (LPI) signals with wide bandwidth.
  • Nyquist folding receiver (NYFR) offers a novel architecture for UWB receiving with minimal hardware.

Purpose of the Study:

  • To propose a parameter estimation algorithm for signals processed by a Nyquist folding receiver (NYFR).
  • To accurately estimate chirp rate, Nyquist zone (NZ) index, phase change points, and code length of LFM/BPSK signals intercepted by an NYFR.
  • To develop an efficient algorithm with reduced computational complexity for NZ index estimation.

Main Methods:

  • Chirp singular value ratio spectrum is utilized for chirp rate estimation, leveraging NYFR prior information.
  • A matching component function is designed to estimate the Nyquist zone (NZ) index based on output signal characteristics.
  • Matching code and subspace methods are employed for estimating phase change points and code length.

Main Results:

  • The proposed algorithm demonstrates superior performance compared to existing methods for parameter estimation.
  • The algorithm effectively estimates chirp rate, NZ index, phase change points, and code length of LFM/BPSK signals.
  • The computational complexity for NZ index estimation is significantly reduced as it avoids multi-channel structure construction.

Conclusions:

  • The developed parameter estimation algorithm is effective for NYFR output signals, particularly LFM/BPSK.
  • The algorithm offers improved accuracy and efficiency, making it suitable for LPI signal interception.
  • Simulation results validate the efficacy and reduced computational load of the proposed estimation technique.