A compact M M 0 antenna is suggested by combining polarization diversity and space diversity into one arrangement consisting of a cube where all 12 edges consist of an electrical dipole. The antenna should be useful in an indoor environment with waves arriving from many directions with arbitrary polarizations. The highest gain values are around 8.5 dB per cube and the theoretical capacity is 47 b/s/Hz for a basic SNR of 20 dB. The number of active channels is 12 for a side length of half-a-wavelength, but reduces to 6 for a very compact antenna. Even for less ideal conditions like only horizontal propagation, or lack of cross polarization, the capacity attains considerable values.
We investigate space-frequency block coding for OFDM systems with multiple transmit antennas, where coding is applied in the frequency domain (OFDM carriers) rather than in the time domain (OFDM symbols). In particular we consider Alamouti's code, which was shown to be the optimum block code for two transmit antennas and time domain coding. We show that the standard decoding algorithm results in significant performance degradation depending on the frequency-selective nature of the transmission channels, such that a low coherence bandwidth results in a huge degradation. The optimum decoding algorithm that alleviates this problem is the maximum-likelihood decoder for joint symbol detection. We present a performance analysis for the investigated space-frequency decoders in terms of the achievable BER results. Furthermore we compare space-time and spacefrequency coding and discuss the respective advantages and drawbacks of the different decoding algorithms in terms of their complexity. It should be noted that for the space-time approach we introduce the so-called matched-filter receiver, which shows significantly lower complexity compared to the maximum-likelihood decoder known from literature. The HIPERMAN system serves as an example OFDM system for quantitative comparisons.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.