Maximum-Likelihood Sequence Detection of Multiple Antenna Systems over Dispersive Channels via Sphere Decoding

Maximum-Likelihood Sequence Detection of Multiple Antenna Systems over Dispersive Channels via Sphere Decoding

Multiple antenna systems are capable of providing high data rate transmissions over wireless channels. When the channels are dispersive, the signal at each receive antenna is a combination of both the current and past symbols sent from all transmit antennas corrupted by noise. The optimal receiver is a maximum-likelihood sequence detector and is often considered to be practically infeasible due...

Blind Maximum Likelihood Sequence Detection Over Fast Fading Communication Channels

Optimal binary training sequence design for multiple-antenna systems over dispersive fading channels

Accurate and efficient channel estimation is important in multiple-antenna communication systems in order to effectively reduce the mutual interference among different transmitting antennas. For a nondispersive channel that is modeled by a single tap for each transmitting and receiving antenna pair, the well-known Hadamard sequences can be applied to estimate the channel coefficients. However, ...

Approximate Maximum Likelihood Sequence Detection

The problem of multiuser detection in asynchronous Direct-Sequence Code-Division Multiple-Access systems with residual errors in timing and amplitude estimation is addressed. Prior work has shown that the maximum-likelihood (ML) solution is sensitive to timing errors as small as a fraction of a chip period. In this paper, residual errors in both synchronization and fading coeecient estimation a...

Reduced-complexity Maximum- Likelihood Detection in Multiple-antenna-aided Multicarrier Systems

In this contribution we explore a family of novel Optimized Hierarchy Reduced Search Algorithm (OHRSA)-aided space-time processing methods, which may be regarded as an advanced extension of the Complex Sphere Decoder (CSD) method. The algorithm proposed extends the potential application range of the CSD method, as well as reduces the associated computational complexity.