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Achievable Resolution Limits of Noisy Adaptive 20 Questions Estimation for Multiple Targets

  • Chunsong Sun*
  • , Lin Zhou
  • *此作品的通讯作者
  • Beihang University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

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.

源语言英语
主期刊名2023 IEEE International Symposium on Information Theory, ISIT 2023
出版商Institute of Electrical and Electronics Engineers Inc.
1580-1585
页数6
ISBN(电子版)9781665475549
DOI
出版状态已出版 - 2023
活动2023 IEEE International Symposium on Information Theory, ISIT 2023 - Taipei, 中国台湾
期限: 25 6月 202330 6月 2023

出版系列

姓名IEEE International Symposium on Information Theory - Proceedings
2023-June
ISSN(印刷版)2157-8095

会议

会议2023 IEEE International Symposium on Information Theory, ISIT 2023
国家/地区中国台湾
Taipei
时期25/06/2330/06/23

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