Performance analysis of space-time codes in realistic propagation environments: A moment generating function-based approach

Nguyen

2006 IEEE International Conference on Communications

2006

Abstract-In this paper, we derive an analytical expression for the exact pairwise error probability (PEP) of a differential space-time coded system operating over a spatially correlated slow fading channel. An analytic model for spatial correlation is used which fully accounts for antenna spacing, antenna geometry and non-isotropic scattering distributions. Inclusion of spatial information in error performance analysis provides valuable insights into the physical factors determining the performance of a differential space-time code (DSTC). Using this new PEP expression, we investigate the effects of antenna spacing, antenna geometries and azimuth power distribution parameters (angle of arrival/departure and angular spread) on the performance of a differential space-time block code (DSTBC) proposed in the literature for two transmit antennas.

Section: Effect Of Modal Correlationmentioning

confidence: 95%

“…Using the partial fraction expansion technique given in [13] and a result found in [17], the integral in (28) can be evaluated in closed form.…”

Section: B Exact-pep For Correlated Channelsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Exact Pairwise Error Probability of Differential Space-Time Codes in Spatially Correlated Channels

Nguyen

2006 IEEE International Conference on Communications

2006

“…Assuming the power distribution at the receiver is independent of the power distribution at the transmitter, the correlation matrix of the channel (2) can be written as [12] where y(k) = (vec{Y(k)T})T, X(k) = R X (FX(k)), h = (vec{HT})T, n(k) = (vec{N(k)T})T, Sf(k) = InpR S(k) and w(k) = n(k)-n(k-1)S(k). From (5), the transmitted code word matrix can be detected differentially using the maximum likelihood detection rule: Sf(k) = arg max Re{y(k -)Sf(k)y(k)t}.…”

Section: Introductionmentioning

confidence: 99%

Spatial Precoder Design for Differential Space-Time Coded Systems: Based on Fixed Parameters of MIMO Channels

Nguyen

2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications

et al. 2006

Self Cite

In this paper, we introduce the novel idea of linear spatial precoding based on fixed and known parameters of MIMO channels to improve the performance of differential space-time coding schemes. Antenna spacing and antenna placements (geometry) are considered as fixed parameters of MIMO channels, which are known at the transmitter. This new linear spatial precoding scheme exploits the antenna placement information at both ends of the MIMO channel to ameliorate the effect of non-ideal antenna placement on the performance of differential space-time coded systems. With this design, the precoder is fixed for fixed antenna placement and the transmitter does not require any feedback of channel state information (partial or full) from the receiver. A second precoding scheme is proposed by exploiting the non-isotropic scattering distribution parameters of the scattering channel. Unlike in the first scheme, the second scheme requires the receiver to estimate the non-isotropic distribution parameters and feed them back to the transmitter. Simulation results show that first scheme provides significant performance improvements at low SNRs and the second scheme provides significant performance improvements both at low and high SNRs.

“…Such an assumption is valid only if the scattering environment is isotropic, i.e., scattering is uniformly distributed over the receiver and transmitter antenna arrays, and also only if the antennas in an array are well separated. Recent studies have shown that insufficient antenna spacing and non-isotropic scattering reduce the performance of space-time coded communication systems [9][10][11]. This has motivated the design of linear precoders for space-time coded multiple antenna systems by exploiting the statistical information of the MIMO channels [12][13][14][15][16][17].…”

mentioning

confidence: 99%

Spatial precoder design for space–time coded MIMO systems: based on fixed parameters of MIMO channels

Kennedy

et al. 2007

Wireless Pers Commun

Self Cite

Abstract-In this paper, we introduce the novel use of linear spatial precoding based on fixed and known parameters of multiple-input multiple-output (MIMO) channels to improve the performance of space-time coded MIMO systems. We derive linear spatial precoding schemes for both coherent (channel is known at the receiver) and non-coherent (channel is unknown at the receiver) space-time coded MIMO systems. Antenna spacing and antenna placement (geometry) are considered as fixed parameters of MIMO channels, which are readily known at the transmitter. These precoding schemes exploit the antenna placement information at both ends of the MIMO channel to ameliorate the effect of non-ideal antenna placement on the performance of space-time coded systems. In these schemes, the precoder is fixed for given transmit and receive antenna configurations and transmitter does not require any feedback of channel state information (partial or full) from the receiver. Closed form solutions for both precoding schemes are presented for systems with up to three receiver antennas. A generalized method is proposed for more than three receiver antennas. We use the coherent space-time block codes (STBC) and differential space-time block codes to analyze the performance of proposed precoding schemes. Simulation results show that at low SNRs, both precoders give significant performance improvement over a non-precoded system for small antenna aperture sizes.