Data structures and algorithms with object-oriented design patterns in C++
Data structures and algorithms with object-oriented design patterns in C++
Adaptive generalized rake reception in DS-CDMA systems
IEEE Transactions on Wireless Communications
A list-based detection technique for long intersymbol interference channels
IEEE Transactions on Wireless Communications
The Chase Family of Detection Algorithms for Multiple-Input Multiple-Output Channels
IEEE Transactions on Signal Processing
Near maximum likelihood detection schemes for wireless MIMO systems
IEEE Transactions on Wireless Communications
IEEE Transactions on Wireless Communications
DS-CDMA downlink system capacity enhancement through interference suppression
IEEE Transactions on Wireless Communications
Combined array processing and space-time coding
IEEE Transactions on Information Theory
Group detection for synchronous Gaussian code-division multiple-access channels
IEEE Transactions on Information Theory
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In this letter, a multistage group detection (MSGD) approach to nonlinear equalization is proposed. At each stage, symbols are divided into groups, and maximum-likelihood detection (MLD) within the group is performed. The MLD process identifies a number of promising group values. It is constrained to only consider candidate symbol values identified in the previous stage. Groups are formed by combining groups from the previous stage. For example, symbols are detected one at a time, then two at a time, then four at a time, and so on. The last stage is a form of constrained maximum-likelihood sequence detection (MLSD). The overall demodulation process can be viewed as approximate MLSD, and results show that near-MLSD performance is possible with reasonable complexity. While the High Speed Downlink Packet Access (HSDPA) cellular system is used as an example, the approach can be applied other situations, including the Long Term Evolution (LTE) uplink and MIMO.