Iterative Receiver for MIMO-OFDM Systems - Intercarrier Interference Cancellation and Channel Estimation

*- Paperback*

2009, ISBN: 9783639212747

[ED: Taschenbuch / Paperback], [PU: VDM Verlag Dr. Müller], OFDM with multiple antennas has been considered in the future wireless communication systems. The challenge in the detection of a space-time signal is to design a low-complexity detector, which can remove interference resulted from channel variations and approach the interference-free bound. In this book, we employ an iterative receiver with a decoder metric, so that the bias effect in the iterations is considerably reduced, which is critical for the performance of the iterative algorithm. A new algorithm is proposed for intercarrier interference cancellation in high mobility scenarios. Furthermore, a simplified method is developed to reduce the computation complexity in the frequency- domain equalizer. In time-variant scenarios, we investigate a pilot-assisted channel estimation method under the assumption that the channel can be approximated by a linear model. The estimated channel will be used to update the frequency-domain equalizer and parallel interference canceler (PIC) in the iterative MIMO-OFDM receiver. It is shown that the proposed equalization algorithm with estimated channel state information can mitigate the effect of ICI effectively., DE, [SC: 0.00], Neuware, gewerbliches Angebot, 128, [GW: 181g], Selbstabholung und Barzahlung, PayPal, offene Rechnung, Banküberweisung, Internationaler Versand

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2009, ISBN: 9783639212747

OFDM with multiple antennas has been considered in the future wireless communication systems. The challenge in the detection of a space-time signal is to design a low-complexity detector, which can remove interference resulted from channel variations and approach the interference-free bound. In this book, we employ an iterative receiver with a decoder metric, so that the bias effect in the iterations is considerably reduced, which is critical for the performance of the iterative algorithm. A new algorithm is proposed for intercarrier interference cancellation in high mobility scenarios. Furthermore, a simplified method is developed to reduce the computation complexity in the frequency- domain equalizer. In time-variant scenarios, we investigate a pilot-assisted channel estimation method under the assumption that the channel can be approximated by a linear model. The estimated channel will be used to update the frequency-domain equalizer and parallel interference canceler (PIC) in the iterative MIMO-OFDM receiver. It is shown that the proposed equalization algorithm with estimated channel state information can mitigate the effect of ICI effectively. Intercarrier Interference Cancellation and Channel Estimation Buch (fremdspr.) Taschenbuch 01.11.2009 Bücher>Fremdsprachige Bücher>Englische Bücher, VDM, .200

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ISBN: 9783639212747

OFDM with multiple antennas has been considered in the future wireless communication systems. The challenge in the detection of a space-time signal is to design a low-complexity detector, which can remove interference resulted from channel variations and approach the interference-free bound. In this book, we employ an iterative receiver with a decoder metric, so that the bias effect in the iterations is considerably reduced, which is critical for the performance of the iterative algorithm. A new algorithm is proposed for intercarrier interference cancellation in high mobility scenarios. Furthermore, a simplified method is developed to reduce the computation complexity in the frequency- domain equalizer. In time-variant scenarios, we investigate a pilot-assisted channel estimation method under the assumption that the channel can be approximated by a linear model. The estimated channel will be used to update the frequency-domain equalizer and parallel interference canceler (PIC) in the iterative MIMO-OFDM receiver. It is shown that the proposed equalization algorithm with estimated channel state information can mitigate the effect of ICI effectively. Bücher, Hörbücher & Kalender / Bücher / Sachbuch / Computer & IT, [PU: VDM Verlag Dr. Müller, Saarbrücken]

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2009, ISBN: 9783639212747

OFDM with multiple antennas has been considered in the future wireless communication systems. The challenge in the detection of a space-time signal is to design a low-complexity detector, which can remove interference resulted from channel variations and approach the interference-free bound. In this book, we employ an iterative receiver with a decoder metric, so that the bias effect in the iterations is considerably reduced, which is critical for the performance of the iterative algorithm. A new algorithm is proposed for intercarrier interference cancellation in high mobility scenarios. Furthermore, a simplified method is developed to reduce the computation complexity in the frequency- domain equalizer. In time-variant scenarios, we investigate a pilot-assisted channel estimation method under the assumption that the channel can be approximated by a linear model. The estimated channel will be used to update the frequency-domain equalizer and parallel interference canceler (PIC) in the iterative MIMO-OFDM receiver. It is shown that the proposed equalization algorithm with estimated channel state information can mitigate the effect of ICI effectively. Buch (fremdspr.) Rui Li Taschenbuch, VDM, 01.11.2009, VDM, 2009

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2009, ISBN: 9783639212747

OFDM with multiple antennas has been considered in the future wireless communication systems. The challenge in the detection of a space-time signal is to design a low-complexity detector, which can remove interference resulted from channel variations and approach the interference-free bound. In this book, we employ an iterative receiver with a decoder metric, so that the bias effect in the iterations is considerably reduced, which is critical for the performance of the iterative algorithm. A new algorithm is proposed for intercarrier interference cancellation in high mobility scenarios. Furthermore, a simplified method is developed to reduce the computation complexity in the frequency- domain equalizer. In time-variant scenarios, we investigate a pilot-assisted channel estimation method under the assumption that the channel can be approximated by a linear model. The estimated channel will be used to update the frequency-domain equalizer and parallel interference canceler (PIC) in the iterative MIMO-OFDM receiver. It is shown that the proposed equalization algorithm with estimated channel state information can mitigate the effect of ICI effectively. Buch (fremdspr.) Rui Li Taschenbuch, VDM, 01.11.2009, VDM, 2009

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# Iterative Receiver for MIMO-OFDM Systems - Intercarrier Interference Cancellation and Channel Estimation* - Paperback*

2009, ISBN: 9783639212747

[ED: Taschenbuch / Paperback], [PU: VDM Verlag Dr. Müller], OFDM with multiple antennas has been considered in the future wireless communication systems. The challenge in the detection of… More...

2009, ISBN: 9783639212747

OFDM with multiple antennas has been considered in the future wireless communication systems. The challenge in the detection of a space-time signal is to design a low-complexity detector,… More...

## ISBN: 9783639212747

OFDM with multiple antennas has been considered in the future wireless communication systems. The challenge in the detection of a space-time signal is to design a low-complexity detector,… More...

2009, ISBN: 9783639212747

OFDM with multiple antennas has been considered in the future wireless communication systems. The challenge in the detection of a space-time signal is to design a low-complexity detector,… More...

2009, ISBN: 9783639212747

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** Details of the book - Iterative Receiver for MIMO-OFDM Systems**

EAN (ISBN-13): 9783639212747

ISBN (ISBN-10): 3639212746

Hardcover

Paperback

Publishing year: 2009

Publisher: VDM Verlag

128 Pages

Weight: 0,207 kg

Language: eng/Englisch

Book in our database since 2008-11-17T18:08:06+00:00 (London)

Detail page last modified on 2020-12-08T16:32:25+00:00 (London)

ISBN/EAN: 9783639212747

ISBN - alternate spelling:

3-639-21274-6, 978-3-639-21274-7

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