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Optimum Array Processing: Part IV of Detection, Estimationand Modulation Theory
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Optimum array processing: part IV of detection, estimation and modulation theory, Optimum arrayprocessing: part III of detection- estimation-modulation theory.Abstract:
Optimum array processing: part IV of detection, estimation and modulation theory , Optimum array processing: part IV of detection, estimation and modulation theory , مرکز فناوری اطلاعات و اطلاع رسانی کشاورزیread more
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Channel Estimation and Hybrid Precoding for Millimeter Wave Cellular Systems
TL;DR: An adaptive algorithm to estimate the mmWave channel parameters that exploits the poor scattering nature of the channel is developed and a new hybrid analog/digital precoding algorithm is proposed that overcomes the hardware constraints on the analog-only beamforming, and approaches the performance of digital solutions.
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Nested Arrays: A Novel Approach to Array Processing With Enhanced Degrees of Freedom
Piya Pal,P.P. Vaidyanathan +1 more
TL;DR: A new array geometry, which is capable of significantly increasing the degrees of freedom of linear arrays, is proposed and a novel spatial smoothing based approach to DOA estimation is also proposed, which does not require the inherent assumptions of the traditional techniques based on fourth-order cumulants or quasi stationary signals.
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Sparse Sensing With Co-Prime Samplers and Arrays
P.P. Vaidyanathan,Piya Pal +1 more
TL;DR: This paper considers the sampling of temporal or spatial wide sense stationary (WSS) signals using a co-prime pair of sparse samplers and shows that the co-array based method for estimating sinusoids in noise offers many advantages over methods based on the use of Chinese remainder theorem and its extensions.
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Millimeter Wave Beamforming for Wireless Backhaul and Access in Small Cell Networks
TL;DR: This paper proposes the use of outdoor millimeter wave communications for backhaul networking between cells and mobile access within a cell, and proposes an efficient beam alignment technique using adaptive subspace sampling and hierarchical beam codebooks.
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On Parameter Identifiability of MIMO Radar
TL;DR: It is shown that the maximum number of targets that can be uniquely identified by the MIMO radar is up to Mt times that of its phased-array counterpart, where Mt is the number of transmit antennas.