WebThis letter proposes a low-complexity deep-learning-based direction-of-arrival (DOA) estimation method for a hybrid massive multiple-input multiple-output (MIMO) system with a uniform circular array at the base station. In the proposed method, we first input the received signal vector into some small deep feedforward networks that are trained offline. Based … WebSep 1, 2024 · This paper proposes a novel supervised learning method using deep neural networks to estimate the direction of arrival (DOA) of all the speakers simultaneously from the audio mixture. At the heart of the proposal is a source splitting mechanism that creates source-specific intermediate representations inside the network.
Design of sparse arrays via deep learning for enhanced DOA estimation ...
WebMar 18, 2024 · This paper mainly focus on three problems of the deep neural network based DOA estimation methods: the lack of information hidden in the covariance matrix, the difficulty to train the network with ... WebA very recent approach to DoA estimation is via the use of Deep Learning (DL) [13], [14]. A deep neural network (DNN) with fully connected (FC) layers was employed in [15] for DoA classification of two targets using the signal covariance matrix. However, the reported results indicate poor DoA estimation results in the high SNR. black pearl sportfishing morro bay
Deep Learning Based Broadband DOA Estimation IEEE …
WebWelcome to my page! I am an experienced Electrical Engineer with a successful track record of research, design and development of algorithms in Digital Signal Processing (DSP), and solving real world problems in audio and biomedical signal processing. I have experience in o Mathematical modeling, statistical data analysis, optimization and … WebApr 26, 2024 · This paper introduces an enhanced deep learning-based (DL) antenna selection approach for optimum sparse linear array selection for direction-of-arrival … black pearls tahiti cost