H
Hing Cheung So
Researcher at City University of Hong Kong
Publications - 518
Citations - 13868
Hing Cheung So is an academic researcher from City University of Hong Kong. The author has contributed to research in topics: Estimator & Estimation theory. The author has an hindex of 53, co-authored 467 publications receiving 10967 citations. Previous affiliations of Hing Cheung So include University of Electronic Science and Technology of China & The Chinese University of Hong Kong.
Papers
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Least squares algorithms for time-of-arrival-based mobile location
TL;DR: It is shown that the CWLS estimator yields better performance than the LS method and achieves both the Crame/spl acute/r-Rao lower bound and the optimal circular error probability at sufficiently high signal-to-noise ratio conditions.
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Time-of-arrival based localization under NLOS conditions
TL;DR: A residual test (RT) is proposed that can simultaneously determine the number of line-of-sight (LOS) BS and identify them and then, localization can proceed with only those LOS BS.
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Joint Range and Angle Estimation Using MIMO Radar With Frequency Diverse Array
TL;DR: An unambiguous approach for joint range and angle estimation is devised for multiple-input multiple-output (MIMO) radar with frequency diverse array (FDA), which is capable of employing a small frequency increment across the array elements.
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A constrained least squares approach to mobile positioning: algorithms and optimality
TL;DR: This paper presents a constrained weighted least squares (CWLS) mobile positioning approach that encompasses all the above described measurement cases and shows that all the developed CWLS location estimators achieve zero bias and the Cramér-Rao lower bound approximately when measurement error variances are small.
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Transmit Subaperturing for Range and Angle Estimation in Frequency Diverse Array Radar
Wen-Qin Wang,Hing Cheung So +1 more
TL;DR: This paper proposes a transmit subaperturing scheme on the FDA radar for range and angle estimation of targets to divide the FDA elements into multiple subarrays and optimize the transmit beamspace matrix with the use of convex optimization.