In order to study the basis of information theory for MIMO wireless navigation system, channel capacity formula of MIMO system which uses multi-sending and multi-receiving antennas was deduced from point of view of in...
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In order to study the basis of information theory for MIMO wireless navigation system, channel capacity formula of MIMO system which uses multi-sending and multi-receiving antennas was deduced from point of view of information theory. With a circularly symmetric complex Gaussian input signal vector and equally-distributed signal power through all the transmit antennas, a much higher capacity can be obtained compared to the traditional SISO system. Two typical MIMO systems corresponding to all 1's and the unit transmission matrix were modeled completely for their channel capacity, followed by our proposed virtual equivalent structures. The simulation results were also given to testify the MIMO channel capacity.
In this paper a multiple-input multiple-output (MIMO) scheme proposed for single carrier frequency division multiple access (SC-FDMA) system is described. Transmit and receive algorithms are developed for SC-FDMA MIMO...
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In this paper a multiple-input multiple-output (MIMO) scheme proposed for single carrier frequency division multiple access (SC-FDMA) system is described. Transmit and receive algorithms are developed for SC-FDMA MIMO systems. A spatial precoding closed-loop transmit beamforming (TxBF) algorithm for SC-FDMA MIMO system which uses singular value decomposition (SVD) at the transmitter and linear minimum mean square error (LMMSE) equalization at the receiver is described. Quantization and feedback schemes to support closed-loop operation are discussed. The PAPR effects and a mitigation approach are presented. Simulation results are shown for throughput vs. signal-to-noise ratio (SNR). The performance for this new TxBF algorithm is compared to Single-Input-Multiple Output (SIMO) performance. Also, single and dual-codeword performance is considered.
MIMO radars may outperform conventional ones as regards target detection, parameter estimation and classification via spatial and waveform diversities. MIMO radar is a kind of shared spectrum system: the mutual interf...
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ISBN:
(纸本)9781424458110
MIMO radars may outperform conventional ones as regards target detection, parameter estimation and classification via spatial and waveform diversities. MIMO radar is a kind of shared spectrum system: the mutual interference among the waveforms may lead to considerable performance degradation, especially with multiple targets. As a result, preserving MIMO radar performance under such conditions via waveform design becomes an interesting research topic. In this paper, we consider the marriage of space time coding (STC) and Golay complementary pairs to mitigate both waveform autocorrelation and cross-correlation effects, and hence to enhance range resolution. The implementation is discussed, and an application for instantaneous polarization is briefly introduced.
The spacetime spreading,superimposed training sequences,and space-timecoding are used to present a multiple input and multiple output(MIMO)systems model,and a closed-form of average error probability upper bound exp...
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The spacetime spreading,superimposed training sequences,and space-timecoding are used to present a multiple input and multiple output(MIMO)systems model,and a closed-form of average error probability upper bound expression for MIMO correlated frequency-selective channel in the presence of interference(co-channel interference and jamming signals)is ***,the correlation at both ends of the wireless link that can be incorporated equivalently into correlation at the transmit end is also *** is significant to analyze space-time link algorithm of MIMO systems.
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