Spread spectrum communications handbook (revised ed.)
Spread spectrum communications handbook (revised ed.)
VLSI architectures for turbo codes
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Iterative Detection: Adaptivity, Complexity Reduction, and Applications
Iterative Detection: Adaptivity, Complexity Reduction, and Applications
Shift Register Sequences
Iterative message passing techniques for rapid code acquisition
MILCOM'03 Proceedings of the 2003 IEEE conference on Military communications - Volume I
Serial concatenation of interleaved codes: performance analysis, design, and iterative decoding
IEEE Transactions on Information Theory
The generalized distributive law
IEEE Transactions on Information Theory
Factor graphs and the sum-product algorithm
IEEE Transactions on Information Theory
On the stopping distance and the stopping redundancy of codes
IEEE Transactions on Information Theory
Turbo decoding as an instance of Pearl's “belief propagation” algorithm
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
A new approach to rapid PN code acquisition using iterative message passing techniques
IEEE Journal on Selected Areas in Communications
IEEE Transactions on Wireless Communications
Threshold testing: improving yield for nanoscale VLSI
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Hardware that produces bounded rather than exact results
Proceedings of the 47th Design Automation Conference
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
Error Rate Estimation for Defective Circuits via Ones Counting
ACM Transactions on Design Automation of Electronic Systems (TODAES)
PN Code Acquisition Using Belief Propagation with Adaptive Parity Check Matrix
Wireless Personal Communications: An International Journal
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Rapidly acquiring the code phase of the spreading sequence in an ultra-wideband system is a very difficult problem. In this paper, we present a new iterative algorithm and its hardware architecture in detail. Our algorithm is based on running iterative message passing algorithms on a standard graphical model augmented with multiple redundant models. Simulation results show that our new algorithm operates at lower signal to noise ratio than earlier works using iterative message passing algorithms. We also demonstrate an efficient hardware architecture for implementing the new algorithm. Specifically, the redundant models can be combined together so that substantial memory usage can be reduced. Our prototype achieves the cost-speed product unachievable by traditional approaches.