TY - GEN
T1 - Achievable Resolution Limits of Noisy Adaptive 20 Questions Estimation for Multiple Targets
AU - Sun, Chunsong
AU - Zhou, Lin
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - We study the problem of adaptive search for multiple targets using the framework of 20 questions estimation under the query-dependent noise channel. Specifically, we propose an adaptive query strategy that combines the ideas of non-adaptive search for multiple targets using random coding by Zhou, Bai and Hero (TIT, 2022) and adaptive search for one target using variable-length coding with feedback by Zhou and Hero (ISIT, 2021). Our main contribution is the derivation of the non-asymptotic and second-order asymptotic performance of our adaptive query procedure. Furthermore, we discuss the benefit of adaptivity, analytically and numerically, by comparing our results with the non-adaptive counterparts.
AB - We study the problem of adaptive search for multiple targets using the framework of 20 questions estimation under the query-dependent noise channel. Specifically, we propose an adaptive query strategy that combines the ideas of non-adaptive search for multiple targets using random coding by Zhou, Bai and Hero (TIT, 2022) and adaptive search for one target using variable-length coding with feedback by Zhou and Hero (ISIT, 2021). Our main contribution is the derivation of the non-asymptotic and second-order asymptotic performance of our adaptive query procedure. Furthermore, we discuss the benefit of adaptivity, analytically and numerically, by comparing our results with the non-adaptive counterparts.
KW - Noisy adaptive search
KW - adaptivity gain
KW - finite blocklength analysis
KW - multiple targets
KW - second-order asymptotics
UR - https://www.scopus.com/pages/publications/85171426170
U2 - 10.1109/ISIT54713.2023.10206995
DO - 10.1109/ISIT54713.2023.10206995
M3 - 会议稿件
AN - SCOPUS:85171426170
T3 - IEEE International Symposium on Information Theory - Proceedings
SP - 1580
EP - 1585
BT - 2023 IEEE International Symposium on Information Theory, ISIT 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE International Symposium on Information Theory, ISIT 2023
Y2 - 25 June 2023 through 30 June 2023
ER -