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Research on Performance of Wireless Communication Systems Using Adaptive Antenna Arrays
Date Issued
2009
Date
2009
Author(s)
Li, Shou-I
Abstract
In mobile radio communications, multipath propagation causes signal strength fluctuation. To mitigate these channel impairments, antenna arrays are usually used to improve signal quality. Since the functionality of the antenna array is based on spatial properties of the mulitipath channel , we derive spatial correlation equations of the uniform linear array (ULA), the uniform circular array(UCA), and the concentric ring array (CRA) for two types of angle spread distributions(uniform distribution and truncated Gaussian distribution) in chapters 4, 5, and 6. We discuss the effect of the spatial correlation on the bit error rate and also compare the difference of the bit error rate between these antenna arrays by simulation results. Unlike other algorithms that indirectly minimize the bit error rate by optimizing other variables (e.g. Signal to Interference plus Noise Ratio or Mean Square Error), the design of the minimum bit error rate (MBER) algorithm is used to directly minimize the bit error rate. It is demonstrated that the MBER algorithm can achieve better BER performance than the MMSE algorithm. We conduct researches on the MBER algorithm and the adaptive MBER algorithm. We compare the MEBR algorithm and the MMSE algorithm by BER simulation results.
Subjects
Adaptive Antenna Array
Wireless Communication System
Type
thesis
File(s)
No Thumbnail Available
Name
ntu-98-R96942128-1.pdf
Size
23.32 KB
Format
Adobe PDF
Checksum
(MD5):dfaacb32ba5a1c2035ccd129e4d01716