MATLAB-Based GPU Acceleration for Multiple-Input and Multiple-Output Radar Beamforming Algorithm
نویسندگان
چکیده
منابع مشابه
Grassmannian beamforming for multiple-input multiple-output wireless systems
Transmit beamforming and receive combining are simple methods for exploiting the significant diversity that is available in multiple-input and multiple-output (MIMO) wireless systems. Unfortunately, optimal performance requires either complete channel knowledge or knowledge of the optimal beamforming vector which are not always realizable in practice. In this correspondence, a quantized maximum...
متن کاملOthogonal Waveform Design for Multiple-Input Multiple-Output (MIMO) Radar
An effective numerical approach is developed for orthogonal waveform design for Multiple-Input Multiple-Output (MIMO) radar. The Doppler shift tolerance is considered in the design cost function. The design results indicate that the Doppler tolerance of the designed orthogonal waveforms is markedly improved. Keywords-MIMO radar; waveform design; Doppler effect;
متن کاملCoordinated multicell beamforming for massive multiple-input multiple-output systems based on uplink-downlink duality
This paper studies joint beamforming and power allocation for multicell multiuser multi-antenna systems with the objective of maximising the minimum signal-to-interference-plus-noise ratio (max–min SINR). The authors first consider developing an iterative algorithm to achieve the optimal performance by extending the uplink–downlink duality for finite-scale wireless communication systems. The so...
متن کاملMultiple Fuzzy Regression Model for Fuzzy Input-Output Data
A novel approach to the problem of regression modeling for fuzzy input-output data is introduced.In order to estimate the parameters of the model, a distance on the space of interval-valued quantities is employed.By minimizing the sum of squared errors, a class of regression models is derived based on the interval-valued data obtained from the $alpha$-level sets of fuzzy input-output data.Then,...
متن کاملMultiple-input multiple-output cross-layer antenna selection and beamforming for cognitive networks
Beamforming techniques can be used to suppress co-channel interference in radio devices. In a cognitive setting, beamforming can be beneficial as it can be applied to cancel interference among co-located primary users and cognitive users. In this study, the authors propose an antenna selection algorithm combined with zero-forcing beamforming to improve the throughput of cognitive multiple-input...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Universal Journal of Electrical and Electronic Engineering
سال: 2020
ISSN: 2332-3280,2332-3299
DOI: 10.13189/ujeee.2020.070102