DocumentCode
2216754
Title
Performance Improvement for MIMO Communication Systems Employing Per Transmit Antenna Differential Encoding (PADE)
Author
Kubo, Hiroshi ; Higashinaka, Masatsugu ; Okazaki, Akihiro ; Murakami, Keishi
Author_Institution
Inf. Technol. R&D Center, Mitsubishi Electr. Corp., Kanagawa
Volume
1
fYear
2005
fDate
11-14 Sept. 2005
Firstpage
42
Lastpage
46
Abstract
This paper proposes performance improvement schemes for multiple-input multiple-output (MIMO) communication systems employing per transmit antenna differential encoding (PADE), which generates an independent differentially encoded sequence for each of the multiple transmit antennas by means of space-time coding and mapping. PADE can operate without channel state information (CSI) at both the transmitter and the receiver. This paper proposes the following schemes suitable for PADE: 1) novel mapping schemes for transmit diversity (TD) and spatial multiplexing (SM); and 2) introduction of the state-reduction algorithm for per-survivor processing (PSP), if the channel is estimated by a large number of observation symbols of the received signal. Next, computer simulation confirms that the proposed schemes can improve bit error rate (BER) performance and can mitigate floor of BER on slowly time-varying fading channels, keeping small hardware complexity
Keywords
MIMO systems; antenna arrays; diversity reception; error statistics; fading channels; multiplexing; space-time codes; time-varying channels; transmitting antennas; BER; MIMO communication systems; bit error rate; mapping schemes; multiple transmit antennas; multiple-input multiple-output; per transmit antenna differential encoding; per-survivor processing; space-time coding; spatial multiplexing; state-reduction algorithm; time-varying fading channels; transmit diversity; Bit error rate; Channel state information; Encoding; MIMO; Samarium; Signal mapping; Signal processing; State estimation; Transmitters; Transmitting antennas; Maximum-likelihood detection; Multiple-input multiple-output (MIMO); Spatial multiplexing; State-reduction algorithm; Transmit diversity; Viterbi algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Personal, Indoor and Mobile Radio Communications, 2005. PIMRC 2005. IEEE 16th International Symposium on
Conference_Location
Berlin
Print_ISBN
9.7838007291e+012
Type
conf
DOI
10.1109/PIMRC.2005.1651395
Filename
1651395
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