Geometric derivation of expectation-maximization and generalized successive interference cancellation algorithms with applications to CDMA channel estimation

On DS-CDMA uplink channel parameter estimation for bit-interleaved-coded modulation

This contribution deals with the performance of joint multi-user turbo detection and channel parameter estimation in a bit interleaved coded modulation scheme for asynchronous Direct-Sequence Code Division Multiple Access (DS-CDMA) transmission over frequency selective, slowly fading channels. Accurate estimation of the channel parameters is critical, as it has great impact on the performance o...

CDMA Multipath Channel Estimation Using Generalized Successive Interference Cancellation Algorithm For Radiolocation

Amplitude and Phase Estimation Considerations for Asynchronous CDMA with Successive Interference Cancellation

Successive interference cancellation, in conjunction with very low rate convolutional codes, has been shown to approach the Shannon capacity of a Gaussian channel [1]. This approach to CDMA is very well suited to asynchronous (uplink) wireless channels. However, accurate phase and amplitude estimation is required for effective operation. In this paper, we develop a power control algorithm speci...

Parallel Interference Cancellation - a Multiuser Detection Framework

Parallel interference cancellation (PIC) principle is conceptually simple and yet eeective method of parameter estimation and data detection in the presence of multiple-access and multipath interference. It uniies some of the known methods of data detection, complex channel co-eecient estimation, as well as delay tracking in DS-CDMA receivers. The PIC method will be derived and some numerical r...

Joint channel estimation and multiuser detection for multipath fading channels in DS-CDMA

The problem of joint blind channel estimation and multiple access interference (MAI) suppression for an asynchronous code-division multiple-access (CDMA) system is studied. A low-complexity sliding-window scheme based on the expectation maximization (EM) algorithm is developed for joint blind maximum a posteriori probability (MAP) multi-user detection (MUD) and stochastic maximum likelihood (ML...