A novel Genie-aided capacity outer bound is provided for MIMO Gaussian interference channels. Rather than requiring each side-informed receiver to cancel the interference from its received signal, it is suggested that...
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ISBN:
(纸本)9781424456383
A novel Genie-aided capacity outer bound is provided for MIMO Gaussian interference channels. Rather than requiring each side-informed receiver to cancel the interference from its received signal, it is suggested that each receiver views the interference as the useful signal undergoing a different channel, which we call an equivalent channel representation. Reflections on the existence and capacity enhancement of such equivalent channel representation are made. Subsequently, an application to relay-assisted communications is provided for which an achievable capacity region is determined. Finally, numerical examples are provided to demonstrate an increase of capacity owing to the proposed interference processing method.
This study proposes a detection algorithm for a three-channel SAR system with weak ground moving target (GMT)detection and focusing imaging under strong noise background. First, the authors use DPCA cancellation techn...
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This study proposes a detection algorithm for a three-channel SAR system with weak ground moving target (GMT)detection and focusing imaging under strong noise background. First, the authors use DPCA cancellation technology to eliminate ground clutter signals. By accumulating the DPCA signal amplitude in the azimuth direction and setting a suitable threshold, they realise GMT detection under strong noise background. After extracting the target range cell DPCA signal, they use the interference processing method to estimate the real-azimuth position of GMT. Then, they perform fractional Fourier transform processing on the extracted DPCA signal. Through the two-dimensional search of the peak point on the (alpha, u) plane of the parameter, the Doppler parameters and velocity estimation of the GMT are obtained. Finally, the azimuth-matching filter is modified to achieve focusing imaging. Simulation results show that the detection probability of GMT is >95% when SNR >= - 27 dB. When SNR = - 27 dB, the authors can achieve fairly accurate parameter estimation of GMT and ideal focusing imaging.
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