Ming Fei Siyau

Comparison between MUSIC and ESPRIT direction of arrival estimation algorithms for wireless communication systems

This paper presents simulation of Angle of Arrival (AOA) estimation using the Multiple Signal Classification (MUSIC) and Estimation of Signal Parameters via Rotational Invariance Technique (ESPRIT) algorithms. We study the localization techniques using the wireless communication systems and there are several algorithms that have the ability in calculate the Direction of Arrival (DOA) of the incident signals. We investigate and compare MUSIC and ESPRIT algorithms. The simulations indicate that the MUSIC algorithm is more accurate and stable compared to the ESPRIT algorithm.

UWB-based indoor 3D position estimation for future generation communication applications

In this work, we present a 3D extension to a previously proposed indoor 2D UWB-based elliptical localisation (EL) technique. As we show in this paper, by honing in on UWBs inherent properties, the 3D position of a node of interest (NOI) is determined by splitting the 3D solution space into two independent 2D solution spaces; and thereafter range measurements are made based on the combination of a single transmitter and three receivers that are placed in the environment of interest. More significantly, we once again illustrate that by considering the properties of UWB in the design process, the hardware requirement which for 3D positioning is currently set to at least four receivers and one transmitter, can be reduced.

A Novel Pilot Expansion Approach for MIMO Channel Estimation

A training-based MIMO channel estimation scheme is presented to operate in severe frequency and time selective fading channels. Besides the new pilot bits designed from the ‘Paley-Hadamard’ matrix to exploit its orthogonal and ‘Toeplitz-like’ structures and minimising its pilot length, a novel pilot expansion technique is proposed to estimate the length of the channel impulse response, by flexibly extending its pilot length as required in order to capture the number of multipath existed within the MIMO channel. The pilot expansion can also help to deduce the initial channel variation and its Doppler rate which can be subsequently applied for MIMO channel tracking using decision feedback Kalman filter during the data payload.

Spatial and temporal relationship in space-time processing for MIMO wireless communications with frequency selective fading channels

This paper studies the relationship between spatial and temporal entities of the space-time processing (STP) for multiple-input multiple-output (MIMO) wireless communications in a frequency-selective fading channel. Analysis based on the zero-forcing criterion suggests that minimum number of the spatial receive antenna, N, and the temporal equaliser tap, (K+1) of the ‘beamformer-equaliser’ can be optimally obtained given the prior knowledge of both the number of L multiple paths with delay-spread within each channel impulse response of MIMO channel and Q multiple users (or multiple transmit antennas) that present simultaneously in a MIMO system. Detailed investigation between these four entities: N, K, Q & L in STP is presented to provide more insightful understanding for the operation of the beamformer-equaliser structure and STP in the frequency-selective fading MIMO environment.