DocumentCode :
3036756
Title :
Reduced Complexity Sequence Detection of Continuous Phase Modulation as the Superposition of Time-Varying Amplitude Modulated Pulses
Author :
Wylie-Green, Marilynn P. ; Perrins, Erik S.
Author_Institution :
Nokia Siemens Networs. email: marilynn.green@nsn.com
fYear :
2007
fDate :
29-31 Oct. 2007
Firstpage :
1
Lastpage :
6
Abstract :
The Laurent Decomposition expresses any binary single-h CPM waveform as the summation of a finite number of pulse amplitude modulated components, and this result has been useful in the development of a class of reduced complexity CPM detection schemes. In a recent generalization, it has been shown that a similar finite-term amplitude modulation expansion exists for all variants of CPM, regardless of signal complexity, with the important distinction that the amplitude modulated pulses are, generally, data-dependent. Furthermore, it has been shown that most of the signal power is typically concentrated in the first 1 - 2 principle components of the expansion, which suggests a possible reduction in receiver complexity viz. the optimal maximum likelihood sequence detector. In this paper, we investigate the bit error rate (BER) performance of a maximum likelihood sequence detector when the incoming signal is matched to the data-dependent pulse modulation components found in this new signal representation. Numerical results suggest that there is a negligible decrease in performance between the optimal conventional matched filter receiver and a reduced complexity, sub-optimal scheme that only uses the first 1 - 2 (principle) signal components in the construction of the matched filter bank.
Keywords :
Amplitude modulation; Bit error rate; Continuous phase modulation; Demodulation; Detectors; Matched filters; Maximum likelihood detection; Phase detection; Phase modulation; Pulse modulation; Continuous Phase Modulation; Laurent Decomposition; Pulse Amplitude Modulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Military Communications Conference, 2007. MILCOM 2007. IEEE
Conference_Location :
Orlando, FL, USA
Print_ISBN :
978-1-4244-1513-7
Electronic_ISBN :
978-1-4244-1513-7
Type :
conf
DOI :
10.1109/MILCOM.2007.4454881
Filename :
4454881
Link To Document :
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