Paper Info
Title
RESOLUTION LIMITS OF 20 QUESTIONS SEARCH STRATEGIES FOR MOVING TARGETS
Abstract
We establish fundamental limits of tracking a moving target over the unit cube under the framework of 20 questions with measurement-dependent noise. In this problem, there is an oracle who knows the instantaneous location of a target. Our task is to query the oracle as few times as possible to accurately estimate the trajectory of the moving target, whose initial location and velocity is unknown. We study the case where the oracle's answer to each query is corrupted by random noise with query-dependent discrete distribution. In our formulation, the performance criterion is the resolution, which is defined as the maximal absolute value between the true location and estimated location at each discrete time during the searching process. We are interested in the minimal resolution of any non-adaptive searching procedure with a finite number of queries and derive approximations to this optimal resolution via the second-order asymptotic analysis.
Year
DOI
Venue
2021
10.1109/ICASSP39728.2021.9414680
2021 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP 2021)
Keywords
DocType
Citations 
Measurement-dependent noise, resolution, second-order asymptotics, estimation, non-adaptive
Conference
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Lin Zhou144.81
Alfred O. Hero III22600301.12