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

Nyquist folding receiver (NYFR) is a novel ultra-wideband receiver architecture which can realize wideband receiving with a small amount of equipment. Linear frequency modulated/binary phase shift keying (LFM/BPSK) hybrid modulated signal is a novel kind of low probability interception signal with w...

Full description

Saved in:
Bibliographic Details
Published inEURASIP journal on advances in signal processing Vol. 2016; no. 1; pp. 90 - 15
Main Authors Qiu, Zhaoyang, Wang, Pei, Zhu, Jun, Tang, Bin
Format Journal Article
LanguageEnglish
Published Cham Springer International Publishing 18.08.2016
Springer
Springer Nature B.V
Subjects
Online AccessGet full text
ISSN1687-6180
1687-6172
1687-6180
DOI10.1186/s13634-016-0387-2

Cover

More Information
Summary:Nyquist folding receiver (NYFR) is a novel ultra-wideband receiver architecture which can realize wideband receiving with a small amount of equipment. Linear frequency modulated/binary phase shift keying (LFM/BPSK) hybrid modulated signal is a novel kind of low probability interception signal with wide bandwidth. The NYFR is an effective architecture to intercept the LFM/BPSK signal and the LFM/BPSK signal intercepted by the NYFR will add the local oscillator modulation. A parameter estimation algorithm for the NYFR output signal is proposed. According to the NYFR prior information, the chirp singular value ratio spectrum is proposed to estimate the chirp rate. Then, based on the output self-characteristic, matching component function is designed to estimate Nyquist zone (NZ) index. Finally, matching code and subspace method are employed to estimate the phase change points and code length. Compared with the existing methods, the proposed algorithm has a better performance. It also has no need to construct a multi-channel structure, which means the computational complexity for the NZ index estimation is small. The simulation results demonstrate the efficacy of the proposed algorithm.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ISSN:1687-6180
1687-6172
1687-6180
DOI:10.1186/s13634-016-0387-2