NDLI: Blind estimation for PN code of LFM-PRBC signal based on DPT and spectrum shifting

Content Provider	IEEE Xplore Digital Library
Author	He, D. Tianqi Zhang Li Gao Hongxing Gao
Copyright Year	2012
Description	Author affiliation: Chongqing Key Laboratory of Signal and Information Processing, Chongqing University of Posts and Telecommunications, China (He, D.; Tianqi Zhang; Li Gao; Hongxing Gao)
Abstract	A new approach is proposed to blindly estimate the pseudo noise (PN) code of compound signal combined linear frequency modulation (LFM) and pseudo-random binary phase code (PRBC), which is based on methods of discrete polynomial-phase transform (DPT) and spectrum shifting. Firstly, the square method is adopted to eliminate phase mutation. Then, apply DPT method to estimate the chirp rate, which is used to reconstruct second order exponent. The original compound signal is multiplied by the conjugated second order exponent to get a new compound signal. And then, the original PN code can be restored from the real part of the new compound signal by the way of spectrum shifting. Simulation results show that the approach can correctly estimate PN code when the signal-to-noise ratio (SNR) is 3 dB, and performance will be improved with the increase of sub-pulse number. It also has a better performance compared with the method of FM-AM time-frequency analysis.
Starting Page	1430
Ending Page	1434
File Size	386117
Page Count	5
File Format	PDF
ISBN	9781467309653
e-ISBN	9781467309646
DOI	10.1109/CISP.2012.6469698
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	discrete polynomial-phase transform(DPT) Presses compound signal combined linear frequency modulation and pseudo-random binary phase code(LFM-PRBC) Chirp Estimation blind estimation of pseudo noise code spectrum shifting Frequency estimation Compounds Signal to noise ratio
Content Type	Text
Resource Type	Article

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