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Sparse Array Placement for Bayesian Compressive Sensing Based Direction of Arrival Estimation

International Radar Conference
In this paper, an algorithm to generate a sparse linear antenna array for Direction of Arrival (DoA) estimation that works well in combination with Bayesian Compressive Sensing (BCS) is proposed.
Lucas L. Lamberti   +3 more
semanticscholar   +1 more source

Multitask Bayesian Compressive Sensing for Phaseless Electromagnetic Inverse Problems

2024 IEEE INC-USNC-URSI Radio Science Meeting (Joint with AP-S Symposium)
Electromagnetic (EM) inverse problems have always been an important research topic in applied electro-magnetics. They have great application values in EM characterization and inverse design by reconstructing unknown EM parameters from measured or user ...
Zi An Wang, Ping Li
semanticscholar   +1 more source

Localization of Multiple RF Sources Based on Bayesian Compressive Sensing Using a Limited Number of UAVs With Airborne RSS Sensor

IEEE Sensors Journal, 2020
Locating multiple Radio Frequency (RF) sources by Unmanned Aerial Vehicles (UAVs) using Received Signal Strength (RSS) measurements attracts extensive attention for its intrinsic simplicity in hardware and low cost.
Xinhua Jiang   +4 more
semanticscholar   +1 more source

Optimized Design for Sparse Arrays in 3-D Imaging Sonar Systems Based on Perturbed Bayesian Compressive Sensing

IEEE Sensors Journal, 2020
Sparse planar array designs significantly reduce the hardware complexity and computational overhead in phased array 3-D imaging sonar systems. Recently, Bayesian compressive sensing (BCS) theory has been applied for synthesizing maximally sparse arrays ...
Zhenwei Lin   +5 more
semanticscholar   +1 more source

Multi-task Bayesian compressive sensing for vibration signals in diesel engine health monitoring

Measurement, 2019
In the diesel engine health monitoring system, massive vibration signals are acquired and transmitted to the system center for failure detection and identification.
Wang Qiang   +4 more
semanticscholar   +1 more source

Near-Field Pattern Synthesis for Sparse Focusing Antenna Arrays Based on Bayesian Compressive Sensing and Convex Optimization

IEEE Transactions on Antennas and Propagation, 2018
An effective method based on Bayesian compressive sensing (BCS) and convex optimization for near-field sparse array synthesis is presented in this paper.
Z. Huang, Y. Cheng
semanticscholar   +1 more source

A Received Signal Strength Based Localization Approach for Multiple Target Nodes via Bayesian Compressive Sensing

International Multi-Topic Conference, 2019
In wireless sensor network (WSN), the localization scheme is vital for efficiently utilizing the acquired sensing data from sensor nodes. The received signal strength (RSS) based localization is among one of the most preferable schemes for various ...
M. S. Khan, Junsu Kim, E. Lee, S. Kim
semanticscholar   +1 more source

Underwater Acoustic OFDM Channel Estimation Based on Bayesian Compressive Sensing

IEEE International Underwater Technology Symposium, 2019
Underwater acoustic channel (UWAC) has the feature of sparse multipath. In traditional channel estimation algorithms, however, this sparse multipath feature is not considered, in order to obtain higher estimation accuracy, it take lots of frequency band,
Xuguang Long, Xinmin Ren, Zongwei Yang
semanticscholar   +1 more source

Transmission-Efficient Grid-Based Synchronized Model for Routing in Wireless Sensor Networks Using Bayesian Compressive Sensing

SN Computer Science, 2023
Deepa Devasenapathy   +4 more
semanticscholar   +1 more source

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