DocumentCode :
2533764
Title :
Coefficient bias in constant modulus adaptive filters
Author :
Bellanger, Maurice
Author_Institution :
CNAM, Paris
fYear :
2006
fDate :
21-24 May 2006
Abstract :
The MMSE criterion introduces a bias of the coefficients in adaptive filtering. For constant modulus signals, an estimation of this bias is derived. Constant modulus (CM) criteria lead to different values of this bias. A simple approach is presented to derive estimations for the two criteria of practical interest, namely CM(1,2) and CM(2,2), and it is shown that the bias with CM(1,2) is smaller than the bias with MMSE, while the bias with CM(2,2) is larger. The case of non constant modulus signals is also considered. The results presented are likely to make the performance of CM algorithms better understood and they should contribute to stimulate their introduction in practical systems
Keywords :
adaptive filters; least mean squares methods; MMSE criterion; adaptive filters; coefficient bias; constant modulus criteria; minimum mean square error; Adaptive filters; Algorithm design and analysis; Cost function; Equations; Finite impulse response filter; Signal design;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2006. ISCAS 2006. Proceedings. 2006 IEEE International Symposium on
Conference_Location :
Island of Kos
Print_ISBN :
0-7803-9389-9
Type :
conf
DOI :
10.1109/ISCAS.2006.1692776
Filename :
1692776
Link To Document :
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