2023 - Research.com Electronics and Electrical Engineering in China Leader Award
2015 - IEEE Fellow For contributions to spectral analysis and source localization
His main research concerns Algorithm, Upper and lower bounds, Estimator, Mathematical optimization and Estimation theory. Hing Cheung So is interested in Cramér–Rao bound, which is a branch of Algorithm. His Upper and lower bounds research integrates issues from MIMO, Statistics, Best linear unbiased prediction and Bistatic radar.
His biological study spans a wide range of topics, including Differential, Mobile station, Linear prediction, Artificial intelligence and Pattern recognition. His Optimization problem study, which is part of a larger body of work in Mathematical optimization, is frequently linked to Convex optimization, bridging the gap between disciplines. He usually deals with Estimation theory and limits it to topics linked to Subspace topology and Calculus, Planar array, Computational complexity theory, Eigendecomposition of a matrix and Antenna array.
His primary areas of investigation include Algorithm, Mathematical optimization, Estimator, Estimation theory and Upper and lower bounds. His study in Algorithm focuses on Linear prediction in particular. His research investigates the link between Mathematical optimization and topics such as Robustness that cross with problems in Beamforming.
His study looks at the relationship between Estimator and topics such as Control theory, which overlap with Multipath propagation. His studies in Upper and lower bounds integrate themes in fields like Wireless sensor network and Nonlinear system. His research in Radar intersects with topics in MIMO and Mimo radar.
The scientist’s investigation covers issues in Algorithm, Optimization problem, Radar, Artificial neural network and Matrix. His research integrates issues of Estimator, Signal, Outlier and Robustness in his study of Algorithm. His Estimator research integrates issues from Computational complexity theory, Upper and lower bounds and Linear least squares.
Mathematical optimization covers Hing Cheung So research in Optimization problem. In the subject of general Mathematical optimization, his work in Linear programming is often linked to Convex optimization, thereby combining diverse domains of study. His Radar research includes themes of MIMO, Mimo radar, Waveform and Sonar.
Hing Cheung So mainly investigates Algorithm, Optimization problem, Outlier, Radar and Matrix. His is involved in several facets of Algorithm study, as is seen by his studies on Covariance matrix and Estimation theory. His Covariance matrix research incorporates themes from Estimator and Adaptive beamformer.
His Optimization problem research is under the purview of Mathematical optimization. Hing Cheung So works mostly in the field of Mathematical optimization, limiting it down to concerns involving Dynamic range and, occasionally, Minification. His work is dedicated to discovering how Radar, Mimo radar are connected with Robustness, Control theory, Quantization, Beamforming and Spatial frequency and other disciplines.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Least squares algorithms for time-of-arrival-based mobile location
K.W. Cheung;H.C. So;W.-K. Ma;Y.T. Chan.
IEEE Transactions on Signal Processing (2004)
Time-of-arrival based localization under NLOS conditions
Yiu-Tong Chan;Wing-Yue Tsui;Hing-Cheung So;Pak-chung Ching.
IEEE Transactions on Vehicular Technology (2006)
A constrained least squares approach to mobile positioning: algorithms and optimality
K. W. Cheung;H. C. So;W.-K. Ma;Y. T. Chan.
EURASIP Journal on Advances in Signal Processing (2006)
An improved DV-Hop localization algorithm for wireless sensor networks
Hongyang Chen;K. Sezaki;Ping Deng;Hing Cheung So.
conference on industrial electronics and applications (2008)
Joint Range and Angle Estimation Using MIMO Radar With Frequency Diverse Array
Jingwei Xu;Guisheng Liao;Shengqi Zhu;Lei Huang.
IEEE Transactions on Signal Processing (2015)
Transmit Subaperturing for Range and Angle Estimation in Frequency Diverse Array Radar
Wen-Qin Wang;H. C. So.
IEEE Transactions on Signal Processing (2014)
Linear Least Squares Approach for Accurate Received Signal Strength Based Source Localization
Hing Cheung So;Lanxin Lin.
IEEE Transactions on Signal Processing (2011)
Fast communication: a fast algorithm for 2-D direction-of-arrival estimation
Yuntao Wu;Guisheng Liao;H. C. So.
Signal Processing (2003)
A multidimensional scaling framework for mobile location using time-of-arrival measurements
K.W. Cheung;H.C. So.
IEEE Transactions on Signal Processing (2005)
Analysis and spectral characteristics of a spread-spectrum technique for conducted EMI suppression
K.K. Tse;H.S.-H. Chung;S.Y. Huo;H.C. So.
IEEE Transactions on Power Electronics (2000)
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