Adaptive filter theory (3rd ed.)
Adaptive filter theory (3rd ed.)
Projection approximation subspace tracking
IEEE Transactions on Signal Processing
Perturbation analysis for subspace decomposition with applications in subspace-based algorithms
IEEE Transactions on Signal Processing
Asymptotically near-optimal blind estimation of multipath CDMA channels
IEEE Transactions on Signal Processing
Statistical performance analysis of the algebraic constant modulus algorithm
IEEE Transactions on Signal Processing
Optimal pilot waveform assisted modulation for ultrawideband communications
IEEE Transactions on Wireless Communications
Blind multiuser detection: a subspace approach
IEEE Transactions on Information Theory
Ultra-wideband radio technology: potential and challenges ahead
IEEE Communications Magazine
The ultra-wide bandwidth indoor channel: from statistical model to simulations
IEEE Journal on Selected Areas in Communications
Characterization of ultra-wide bandwidth wireless indoor channels: a communication-theoretic view
IEEE Journal on Selected Areas in Communications
Channel estimation for ultra-wideband communications
IEEE Journal on Selected Areas in Communications
Multiuser detection for DS-CDMA UWB in the home environment
IEEE Journal on Selected Areas in Communications
On the UWB system coexistence with GSM900, UMTS/WCDMA, and GPS
IEEE Journal on Selected Areas in Communications
Multistage block-spreading for impulse radio multiple access through ISI channels
IEEE Journal on Selected Areas in Communications
Blind linear equalization of PPM signals using third-order moments
IEEE Transactions on Wireless Communications
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In a pulse-position modulation-based ultra-wideband (UWB) communication system, multiple access is enabled by assigning unique time-hopping sequences to different users. Each user's data information is carried by positions of short pulses which are directly transmitted through an unknown and possibly dense multipath channel. Single-user channel estimation methods have been proposed by maximum likelihood optimization that treats multiple access interference as Gaussian noise. In this paper, multiuser channel estimation methods are proposed based on a pulse-rate discrete-time system model and up to the second-order statistics of the channel outputs. The model can be regarded in a trilinear structure and also resembles a code-division multiple-access (CDMA) system with newly defined hopping-code dependent matrices and inputs for each user. Considering that either the mean or covariance of received signals contains sufficient information for all unknown channels, least squares and covariance matching ideas are successfully applied to estimate all channels blindly. Accordingly, closed-form solutions are derived. Those channel estimates can be used to design typical linear receivers. Performance of each proposed estimator is analyzed and also verified by computer simulations. Corresponding receivers' performance is also studied numerically.