October 2000
Intermediate to advanced
288 pages
9h 22m
English
book
Solutions to Parallel and Distributed Computing Problems: Lessons from Biological Sciences
by Albert Y. Zomaya, Fikret Ercal, Stephan Olariu
Content preview from Solutions to Parallel and Distributed Computing Problems: Lessons from Biological Sciences
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10.3 ADAPTIVE EQUALIZER FOR DIGITAL MOBILE-RADIO CHANNELS
Wireless data communications require high bandwidth through rapidly changing channels. This is usually accomplished by coding and spectrally efficient modulation techniques. In additioin, mobile-radio systems must consume very little power due to limited battery energy and storage capacity in the portable models. This precludes conventional channel equalization methods, which are too complex, slow, and consume too much power to operate in such systems.
10.3.1 The Channel-Equalization Problem
A typical communications channel can be characterized, in the baseband by
where rk is the received signal at the sampling instant, {sj} is the sequence of transmitted symbols, {hj} is the impulse response of the channel, nk is the additive noise at the sampling period (assumed to be Gaussian), and m is the channel memory. The transmitted symbol sk modulates a unit amplitude rectangular pulse of duration T seconds.
A conventional adaptive linear equalizer of a taped delay line far-infrared (FIR) filter, whose output 
is an estimate of the symbol d sampling periods ago
The main objective is to minimize the error by adjusting the tap-weight ...
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