DocumentCode :
414564
Title :
Optimal and reduced complexity receivers for M-ary multi-h CPM
Author :
Perrins, Erik ; Rice, Michael
Author_Institution :
Dept. of Electr. & Comput. Eng., Brigham Young Univ., Provo, UT, USA
Volume :
2
fYear :
2004
fDate :
21-25 March 2004
Firstpage :
1165
Abstract :
We present an optimal maximum likelihood sequence estimating (MLSE) receiver which is based on the pulse amplitude modulation (PAM) representation of multilevel multi-h continuous phase modulation (CPM). We also give four different approaches to constructing suboptimal receivers which use a significantly reduced number of signal terms. We apply these techniques to two multi-h schemes in current use and evaluate receiver performance with computer simulations. In one instance we reduce the number of trellis states from 512 to 32, and the number of matched filters from 96 to 3, with a degradation of 0.7 dB. The simulations also show that the complexity reductions preserve the performance advantage multi-h CPM schemes have over single-index schemes.
Keywords :
computational complexity; continuous phase modulation; matched filters; maximum likelihood sequence estimation; pulse amplitude modulation; radio receivers; matched filters; maximum likelihood sequence estimating receiver; multilevel multi-h continuous phase modulation; optimal receivers; pulse amplitude modulation; reduced complexity receivers; trellis state; Amplitude estimation; Amplitude modulation; Computational modeling; Computer simulation; Continuous phase modulation; Degradation; Matched filters; Maximum likelihood estimation; Phase estimation; Pulse modulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications and Networking Conference, 2004. WCNC. 2004 IEEE
ISSN :
1525-3511
Print_ISBN :
0-7803-8344-3
Type :
conf
DOI :
10.1109/WCNC.2004.1311353
Filename :
1311353
Link To Document :
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