SVD and signal processing: algorithms, applications and architectures
SVD and signal processing: algorithms, applications and architectures
Adaptive filter theory (2nd ed.)
Adaptive filter theory (2nd ed.)
Matrix computations (3rd ed.)
Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
LDPC Coded OFDM with Alamouti/SVD Diversity Technique
Wireless Personal Communications: An International Journal
The 802.11n MIMO-OFDM Standard for Wireless LAN and Beyond
Wireless Personal Communications: An International Journal
OFDM Baseband Receiver Design for Wireless Communications
OFDM Baseband Receiver Design for Wireless Communications
MIMO-OFDM Wireless Communications with MATLAB
MIMO-OFDM Wireless Communications with MATLAB
IEEE 802.11n: enhancements for higher throughput in wireless LANs
IEEE Wireless Communications
Optimal training signals for MIMO OFDM channel estimation
IEEE Transactions on Wireless Communications
IEEE Communications Magazine
A simple transmit diversity technique for wireless communications
IEEE Journal on Selected Areas in Communications
Capacity limits of MIMO channels
IEEE Journal on Selected Areas in Communications
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Singular value decomposition (SVD) is an optimal method to obtain spatial multiplexing gain in multi-input multi-output (MIMO) channels. However, the high cost of implementation and high decomposing latency of the SVD restricts its usage in current wireless communication applications. In this paper, we present a complete adaptive SVD algorithm and a reconfigurable architecture for high-throughput MIMO-orthogonal frequency division multiplexing systems. There are several proposed architectural design techniques: reconfigurable scheme, division-free adaptive step size scheme, early termination scheme, and data interleaving scheme. The reconfigurable scheme can support all antenna configurations in a MIMO system. The division-free adaptive step size and early termination schemes are used to effectively reduce the decomposing latency and improve hardware utilization. The data interleaving scheme helps to deal with several channel matrices concurrently. Besides, we propose an orthogonal reconstruction scheme to obtain more accurate SVD outputs, and then the system performance will be greatly enhanced. We apply our SVD design to the IEEE 802.11n applications. This design is implemented and fabricated in UMC 90 nm 1P9M CMOS technology. The maximum operating frequency is measured to be at 101.2 MHz, and the corresponding power dissipation is at 125 mW. The core size is 2.17 mm2 and the die size occupies 4.93 mm2. The chip result shows that the average latency is only 0.33% of the wireless local area network coherence time. Hence, the proposed reconfigurable adaptive SVD engine design is very suitable for high-throughput wireless communication applications.