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电信和无线电工程
SJR: 0.202 SNIP: 0.2 CiteScore™: 0.23

ISSN 打印: 0040-2508
ISSN 在线: 1943-6009

卷:
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电信和无线电工程

DOI: 10.1615/TelecomRadEng.v73.i3.30
pages 221-239

A NOVEL BISPECTRUM-BASED FREQUENCY ENCODING TECHNIQUE DEVELOPED FOR NOISY AND MULTIPATH FADING RADIO LINKS

P. A. Molchanov
National Aerospace University, Chkalova Str. 17,61070, Kharkiv, Ukraine
J. T. Astola
Tampere University of Technology, Signal Processing Laboratory, P. O. Box 553, FIN-33101, Tampere, Finland
Karen O. Egiazarian
Tampere University, Tampere, 33720, Finland
A. V. Totsky
National Aerospace University (Kharkiv Aviation Institute), 17, Chkalov St., Kharkiv, 61070, Ukraine
A. A. Zelensky
A. Usikov Institute of Radio Physics and Electronics, National Academy of Sciences of Ukraine, 12, Academician Proskura St., Kharkov; and National Aerospace University (Kharkov Aviation Institute), 17, Chkalov St.., Kharkov, Ukraine

ABSTRACT

In this paper, a novel encoding concept using frequency diversity strategy and bispectrum-based signal processing are suggested for wireless communication systems. According to proposed approach, binary data (0s and 1s) are transmitted by using a pair of mutually orthogonal triplet-signals contained phase coupled frequency tones. Phase coupling in each triplet-signal is given by group of three tones such that phase related to one frequency value is equal to the sum of phases related to other two frequencies. Novel third-order test statistics evaluated in the form of triplet-signal magnitude bispectrum peak values are suggested for detection and discrimination of received triplet-signals in noisy and fading communication radio links. In order to discriminate triplet-signals at the receiver, the sensitivity of bispectrum to phase coupling is exploited. Bit error rate (BER) performance assessed for additive Gaussian channel noise and fast fading demonstrates considerable gain of noise and fading protection provided by suggested bispectrum-based technique as compared with common multiple frequency shift keying (MFSK) scheme using conventional energy-based strategy for signal detection and discrimination.


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