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EURASIP Journal on Wireless Communications and Networking
Application of the evidence procedure to the estimation of wireless channels
EURASIP Journal on Applied Signal Processing
Diversity properties of multiantenna small handheld terminals
EURASIP Journal on Applied Signal Processing
A Novel Environment Characterization Metric for Clustered MIMO Channels
Wireless Personal Communications: An International Journal
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Reduced complexity channel models for IMT-advanced evaluation
EURASIP Journal on Wireless Communications and Networking - Special issue on advances in propagation modelling for wireless systems
A time-variant MIMO channel model directly parametrised from measurements
EURASIP Journal on Wireless Communications and Networking - Special issue on advances in propagation modelling for wireless systems
Detection and tracking of MIMO propagation path parameters using state-space approach
IEEE Transactions on Signal Processing
Comparative study of joint TOA/DOA estimation techniques for mobile positioning applications
CCNC'09 Proceedings of the 6th IEEE Conference on Consumer Communications and Networking Conference
Spatial dynamics of indoor radio wideband channels
EURASIP Journal on Wireless Communications and Networking
Cross-ambiguity function domain multipath channel parameter estimation
Digital Signal Processing
Directional analysis of the on-body propagation channels considering human's anatomical variations
Proceedings of the 7th International Conference on Body Area Networks
PinPoint: localizing interfering radios
nsdi'13 Proceedings of the 10th USENIX conference on Networked Systems Design and Implementation
Proceedings of the Twelfth ACM Workshop on Hot Topics in Networks
International Journal of Artificial Intelligence in Education - ESA Workshop on Radiowave Propagation --2011
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This study investigates the application potential of the SAGE (space-alternating generalized expectation-maximization) algorithm to jointly estimate the relative delay, incidence azimuth, Doppler frequency, and complex amplitude of impinging waves in mobile radio environments. The performance, i.e., high-resolution ability, accuracy, and convergence rate of the scheme, is assessed in synthetic and real macro- and pico-cellular channels. The results indicate that the scheme overcomes the resolution limitation inherent to classical techniques like the Fourier or beam-forming methods. In particular, it is shown that waves which exhibit an arbitrarily small difference in azimuth can be easily separated as long as their delays or Doppler frequencies differ by a fraction of the intrinsic resolution of the measurement equipment. Two waves are claimed to be separated when the mean-squared estimation errors (MSEEs) of the estimates of their parameters are close to the corresponding Cramer-Rao lower bounds (CRLBs) derived in a scenario where only a single wave is impinging. The adverb easily means that the MSEEs rapidly approach the CLRBs, i.e., within less than 20 iteration cycles. Convergence of the log-likelihood sequence is achieved after approximately ten iteration cycles when the scheme is applied in real channels. In this use, the estimated dominant waves can be related to a scatterer/reflector in the propagation environment. The investigations demonstrate that the SAGE algorithm is a powerful high-resolution tool that can be successfully applied for parameter extraction from extensive channel measurement data, especially for the purpose of channel modeling