Multivariate statistical methods: a primer
Multivariate statistical methods: a primer
Matrix analysis and applied linear algebra
Matrix analysis and applied linear algebra
IEEE Transactions on Communications
Space-Time Coding: Theory and Practice
Space-Time Coding: Theory and Practice
Interference robustness aspects of space-time block code-based transmit diversity
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Differential space-code modulation for interference suppression
IEEE Transactions on Signal Processing
Space-time coding for MIMO systems with co-channel interference
IEEE Transactions on Wireless Communications
Space-time coding over fading channels with impulsive noise
IEEE Transactions on Wireless Communications
IEEE Transactions on Information Theory
Space-time block codes from orthogonal designs
IEEE Transactions on Information Theory
Super-orthogonal space-time trellis codes
IEEE Transactions on Information Theory
Chernoff bounds on pairwise error probabilities of space-time codes
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
A simple transmit diversity technique for wireless communications
IEEE Journal on Selected Areas in Communications
A differential detection scheme for transmit diversity
IEEE Journal on Selected Areas in Communications
On bandwidth-efficient multiuser-space-time signal design and detection
IEEE Journal on Selected Areas in Communications
A stochastic MIMO radio channel model with experimental validation
IEEE Journal on Selected Areas in Communications
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In this paper, we provide a unified framework for the asymptotic performance analysis of space-time codes (STCs) in correlated Ricean fading and non-Gaussian noise and interference. In particular, we derive simple and asymptotically tight expressions for the pairwise error probability (PEP) of coherent and differential STCs which are valid for any type of noise and interference with finite moments and detection with general Mahalonobis distance (MD) metrics including Euclidean distance (ED) and noise decorrelating (ND) metrics. These PEP expressions can be combined with truncated union bounds to obtain accurate asymptotic approximations for the bit, symbol, and frame error probabilities of STCs. We show that while the diversity gain of an STC is independent of the type of noise and the type of MD metric used, the coding gain is not and depends on certain moments of the noise and interference. We provide closed-form expressions for these moments for several practically relevant types of noise and interference. We show that for correlated noise significant performance gains can be achieved with the ND metric compared to the ED metric. While noise correlations are beneficial at high signal-to-noise ratios if they can be exploited by the metric, they are harmful if this is not the case and the simple ED metric is employed. All our analytical findings are confirmed by simulations for various popular STCs and several different types of noise and interference.