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Iterative MIMO Decoding: Algorithms and VLSI Implementation Aspects (Series in Microelectronics)

Iterative MIMO Decoding: Algorithms and VLSI Implementation Aspects (Series in Microelectronics) Natural Sciences

Iterative MIMO Decoding: Algorithms and VLSI Implementation Aspects (Series in Microelectronics)

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Description
The key requirements of modern wireless communication systems are throughput, coverage, and range. Multiple-input multiple-output (MIMO) wireless technology in combination with iterative MIMO decoding is one of the most promising methods to imprave these requirements without sacrificing spectral efficiency or increasing the transmit power. This dissertation focuses on the design and optimization of algorithms for iterative MIMO decoding and presents corresponding VLSI implementations. The main contributions of this work are the development and implementation of novel low-complexity and high-performance soft-input softoutput (SISO) detection algorithms for MIMO systems based on parallel Interference cancellation and on sphere decoding. In addition, implementation results for SISO decoding of convolutional, LDPC. and turbo codes are presented. The algorithms and circuits provided in this work give reference for the performance and the silicon complexity associated with iterative MIMO decoding.
Product details
Binding:
Paperback
Edition:
1
Number of Pages:
260
Publication Date:
2009-12-09
Publisher:
Hartung-Gorre
Languages:
Published: English, Original: English
ISBN10:
3866282885
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