NDLI: Symbol-by-symbol adaptive null-space exploiting (SANE) channel truncation for fading OFDM channels

Content Provider	IEEE Xplore Digital Library
Author	Singh, I. Vinay, N.K. Giridhar, K.
Copyright Year	2011
Description	Author affiliation: Electrical Engineering, Indian Institute of Technology Madras, Chennai-600036, India (Singh, I.; Vinay, N.K.; Giridhar, K.)
Abstract	In multicarrier systems, cyclic prefix (CP) is introduced between two symbols to mitigate inter block interference (IBI). The CP length should be equal or more than channel impulse response (CIR) to ensure IBI free system. However, in the interest of spectral efficiency, if the CP is chosen to be less than the (worst case) CIR length, then a time domain channel shortening prefilter (CSP) can be used to truncate or shape the CIR. In [1], we proposed a null-space exploiting CSP (NE-CSP) which is has a lower complexity when compared to the linear minimum mean square error (LMMSE) [2]. In this paper, we propose a symbol-by-symbol adaptive null-space exploiting CSP (SANE-CSP) scheme based on the NE-CSP structure, which is computationally inexpensive. The order of complexity of SANE-CSP is $O(n^{2}),$ whereas the computational complexity order for NE-CSP [1] is $O(n^{3})$ and that of the decoding-delay optimised LMMSE [2] is close to for $O(n^{4}).$ The SANE-CSP for nc = 100, has a block error rate performance 3 dB poorer than the decoding-delay optimised LMMSE, but with only 0.01% computational complexity.
Starting Page	1
Ending Page	5
File Size	154871
Page Count	5
File Format	PDF
ISBN	9781457717864
ISSN	18825621
e-ISBN	9782908849257
e-ISBN	9782908849264
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-03
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	National Institute of Inform
Subject Keyword	OFDM Bit error rate Receiving antennas Time domain equalizer MIMO Complexity theory LMMSE Delay Channel truncation Signal to noise ratio
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Rate-adaptive M-QAM in MIMO diversity systems using space-time block codes

Null-space Exploiting channel shortening prefilter (NE-CSP) for MIMO-OFDM

BER performance of MIMO OFDM-CDMA system in ricean fading channel

Dynamic channel mapping strategies in adaptive MIMO systems

Adaptive loading for MIMO and MIMO-OFDM channels

An Estimation Algorithm for Fast Fading Channel in MIMO-OFDM System

Space-time trellis coding in MIMO-OFDM system

An adaptive channel tracking method for MIMO-OFDM systems

Performance Analysis of Coded MIMO-OFDM Systems Over Generalized Ricean Fading Channels

Symbol-by-symbol adaptive null-space exploiting (SANE) channel truncation for fading OFDM channels

Similar Documents

Rate-adaptive M-QAM in MIMO diversity systems using space-time block codes

Null-space Exploiting channel shortening prefilter (NE-CSP) for MIMO-OFDM

BER performance of MIMO OFDM-CDMA system in ricean fading channel

Dynamic channel mapping strategies in adaptive MIMO systems

Adaptive loading for MIMO and MIMO-OFDM channels

An Estimation Algorithm for Fast Fading Channel in MIMO-OFDM System

Space-time trellis coding in MIMO-OFDM system

An adaptive channel tracking method for MIMO-OFDM systems

Performance Analysis of Coded MIMO-OFDM Systems Over Generalized Ricean Fading Channels

Symbol-by-symbol adaptive null-space exploiting (SANE) channel truncation for fading OFDM channels