1 research outputs found
HIGH RESOLUTION REDUCED COMPLEXITY SYNCHRONIZATION IN SPREAD SPECTRUM SYSTEMS
The estimation of several unknown channel amplitudes and
taps in a multipath environment is an important problem
when designing receivers both for communication and navigation
purposes. A popular approach for these estimation
problems are methods solving the maximum likelihood
(ML) problem for each dimension separately like the expectation
maximization (EM) approach and the more sophisticated
space alternating generalized expectation maximization
(SAGE) algorithm. However, both methods require a
high computational complexity when used in spread spectrum
systems due to long spreading sequences. Therefore,
we apply methods for decreasing the computational complexity
before executing the iterative estimation algorithms.
The respective performance is assessed by means of computer
simulations for a UMTS scenario which show a negligible
degradation in estimation accuracy despite a substantial
complexity reduction