DocumentCode :
2632500
Title :
An Efficient Approach to Minimum Phase Prefiltering of Short Length Filters
Author :
Krishnamurthy, Sundar Rajan
Author_Institution :
SISO, Samsung Electron., Bangalore
fYear :
2008
fDate :
16-19 Dec. 2008
Firstpage :
139
Lastpage :
143
Abstract :
Motivations for performing prefiltering based on root finding are presented, for an interference canceling receiver employing a reduced-state equalizer such as DFSE or RSSE. Since the interference canceling filter (ICF) has a MMSE-DFE structure, that shortens the channel impulse response (CIR), a low complexity minimum phase prefilter can be applied before equalization. Root-finding based prefiltering for second order filters are of particular interest, since closed form solutions can be obtained with less computations. For such second order filters, CIR can be classified as minimum, mixed or maximum phase, based on few inequalities which directly use the complex-valued channel coefficients. Proposed inequalities help in retaining maximum accuracy with low complexity, by avoiding some approximation algorithms involved in root identification on DSP. While samples corresponding to minimum and maximum phase channels are processed directly, root-finding is employed only to transform the mixed phase channels to their minimum phase equivalents.
Keywords :
MIMO communication; decision feedback equalisers; filtering theory; interference suppression; least mean squares methods; mobile radio; radio receivers; MMSE-DFE structure; channel impulse response; complex-valued channel coefficients; dual antenna receivers; interference canceling filter; interference canceling receiver; minimum phase prefiltering; reduced-state equalizer; root-finding based prefiltering; second order filters; short length filters; Adaptive filters; Antenna feeds; Computational complexity; Digital signal processing; Equalizers; Feedback; Interference cancellation; Intersymbol interference; Performance gain; Receiving antennas; Interference cancellation; Minimum phase prefiltering; Reduced state equalization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Information Technology, 2008. ISSPIT 2008. IEEE International Symposium on
Conference_Location :
Sarajevo
Print_ISBN :
978-1-4244-3554-8
Electronic_ISBN :
978-1-4244-3555-5
Type :
conf
DOI :
10.1109/ISSPIT.2008.4775693
Filename :
4775693
Link To Document :
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