DocumentCode
1980024
Title
Performance evaluation of Decision-Directed (DD) channel estimation using diversity techniques
Author
Idris, Anuar ; Razak, Nur Idora Abdul ; Sabry, Manaal
Author_Institution
Fac. of Electr. Eng., Univ. Teknol. MARA, Shah Alam, Malaysia
fYear
2013
fDate
19-20 Aug. 2013
Firstpage
352
Lastpage
355
Abstract
Channel estimation is a one of important technique to improve the performance of Orthogonal Frequency Division Multiplexing (OFDM), and the Decision-Directed (DD) channel estimation is focus on this paper because of the ability of decreasing bit error rate (BER) in the OFDM performance. Decision-Directed channel estimation based on least square error (LSE) was suggested, and it is conducted in the both white Gaussian noise channel and multipath Rayleigh channel. By implemented channel estimation, the OFDM system deals with other problem which is an effect in channel fading due to complexity. Various diversity techniques are used in OFDM system in order to combat the effects of channel fading and to improve the system performance. Diversity can be implemented in three different domains namely time, frequency and space. The simulation result shows that the Decision-Directed channel estimation adapted with diversity scheme improved the performance of OFDM system in terms of increasing SNR and decreasing BER.
Keywords
AWGN channels; OFDM modulation; Rayleigh channels; channel estimation; diversity reception; error statistics; fading channels; least squares approximations; performance evaluation; BER; LSE; OFDM system performance; SNR; bit error rate; channel fading; decision-directed channel estimation; diversity techniques; least square error; multipath Rayleigh channel; orthogonal frequency division multiplexing; performance evaluation; white Gaussian noise channel; Bit error rate; Channel estimation; Complexity theory; Conferences; Fading; OFDM; Wireless communication; Bit Error Rate (BER); Channel Estimation; Decision-Directed (DD); Signal to Noise Ratio (SNR);
fLanguage
English
Publisher
ieee
Conference_Titel
System Engineering and Technology (ICSET), 2013 IEEE 3rd International Conference on
Conference_Location
Shah Alam
Print_ISBN
978-1-4799-1028-1
Type
conf
DOI
10.1109/ICSEngT.2013.6650198
Filename
6650198
Link To Document