This dissertation, "New Channel Estimation and Multiuser Detection Algorithms for Multicarrier(MC)-CDMA Communications Systems" by Hui, Cheng, 成慧, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. Abstract: Abstract of the thesis entitled New Channel Estimation and Multiuser Detection Algorithms For Multicarrier (MC)-CDMA Communications Systems submitted by Cheng Hui for the degree of Doctor of Philosophy at the University of Hong Kong in September 2005 Multicarrier code division multiple access (MC-CDMA) has been recently proposed as an efficient multicarrier transmission scheme for supporting multiple access communications. However, MC-CDMA is an interference-limited system, which is rather sensitive to multiple access interference (MAI). Multiuser detection techniques are critical to mitigate MAI. Meanwhile, channel estimation is essential to the coherent detection of MC-CDMA signals. This thesis is dedicated to new channel estimation and multiuser detection algorithms for wireless MC-CDMA systems. New blind constrained minimum output energy (CMOE)-based and subspace-based multiuser detection and channel estimation algorithms are first developed. In particular, a new blind CMOE receiver is proposed. The proposed CMOE receiver is based on recursive least square (RLS) updating, and it minimizes the receiver''s output energy while preserving the components of the desired signal. iiiBy imposing quadratic weight constraint, the CMOE detector is made more robust against the channel and correlation matrix estimation errors, and a better performance over the standard CMOE detector is obtained. The steady-state signal-to-interference-plus-noise ratio (SINR) performance of the blind adaptive CMOE and training adaptive minimum mean squared-error (MMSE) detectors is also analyzed. A blind mode decision-directed MMSE detector is then proposed to further improve the performance of the blind CMOE receivers. Simulation results show that the blind mode decision-directed MMSE detector substantially improves the system performance when the frequency-selective channel is slowly varying. Blind and group-blind subspace-based MMSE multiuser detectors are also developed, where the channel coefficients can be blindly estimated. The proposed group-blind multiuser detector considerably outperforms the blind subspace-based method in uplink MC-CDMA channels. It exploits the spreading codes of a group of known users within the cell, while suppressing the unknown interferers from other cells using the MMSE principle. The adaptive implementation of the blind and group-blind multiuser detectors is also studied based on signal and noise subspace tracking algorithms. Numerical simulations show that the convergence of the projection approximation subspace tracking with deflation (PASTd) algorithm is quite slow, while the more complicated bi-iteration square-root singular value decomposition (Bi-SVD) signal subspace tracker presents performance close to the solution with exact singular value decomposition (SVD). MC-CDMA systems are sensitive to narrowband interference (NBI). A new robust channel estimator and a robust multiuser detector are developed to combat time-varying NBI. In particular, an efficient weighted recursive least M-estimate (WRLM) algorithm is proposed to recursively estimate the frequency-selective ivfading channel while providing improved robustness to the time-varying NBI. Furthermore, a weighted least M-estimate (WLM) detector is developed to jointly suppress MAI and time-varying NBI. Simulations show that the proposed robust channel estimator and multiuser d