Maximum signal-to-noise ratio array processing for space-time coded systems.
Journal
The 11th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2000, London, UK, September 18-21, 2000
Pages
693-697
Date Issued
2000
Date
We consider the design of array processor for space-time coded multi-antenna systems [1]. While the zero-forcing method was employed in [1], in this paper we seek to obtain a balance between interference suppression and noise enhancement. Although same in concept, this work differs from the conventional minimum mean square error (MMSE) method in that there are more than one desired signal dimensions each corresponding to one of the space-time coded streams. In this case, minimizing the mean squared error (MSE) involves averaging over data modulation and may complicate the presentation. Instead, maximizing the signal-to-noise ratio (SNR) can be handled more concisely. It will be shown that the number of linear filters required by the maximum SNR array processor is no more than the dimension of the signal space or the number of collaborating transmit antennas. The advantages of this design are highly improved performance and reduced decoding complexity.
Author(s)
Geraniotis, Evaggelos
Other Subjects
Adaptive algorithms; Antenna arrays; Communication channels (information theory); Eigenvalues and eigenfunctions; Gaussian noise (electronic); Lagrange multipliers; Mathematical models; Matrix algebra; Maximum likelihood estimation; Rayleigh fading; Signal encoding; Signal interference; Signal to noise ratio; White noise; Wireless telecommunication systems; Transmit antennas; Space time adaptive processing
Type
conference paper