Adaptive beamforming is a versatile approach to detect and estimate the signal-of interest at the output of a sensor array by means of data-adaptive spatial filtering and interference rejection.
The classical discrete multitone receiver as used in, e.g., digital subscriber line (DSL) modems, combines a channel shortening time-domain equalizer (TEQ) with one-tap frequency-domain equalizers
The problem of identifying a single-input multiple-output FIR system without a training signal, the so-called blind system identification, is addressed and two adaptive multi-channel approaches, le
A novel blind equalization algorithm derived with an l− specification, featuring data-dependent selective updates, is presented.
The implementation of existing methods for blind identification of single-input multiple-output (SIMO) systems is limited in practice since they are difficult to execute in an adaptive mode and are
Adaptive algorithms for blindly identifying SIMO systems are appealing because of their computational efficiency and capability of continuously tracking a time-varying system.
For the past twenty years, engineers have been seeking new techniques to combat the intersymbol interference (ISI) in data transmission over band-limited channels.
We propose an adaptive carrier-phase-estimation (CPE) technique, which automatically optimizes the block length of CPE.
Given the user distribution in a cell, we investigate the two problems of how to appropriately sectorize the cell such that we minimize the total received power and the total transmit power of all
Forney 1 has recently proposed a receiver structure for a communication system operating over a known time-dispersive channel with little loss in performance due to intersymbol interference by usin
