Peiqin Tang

dblp:258/8122 · DBLP profile ↗
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7ranked-venue papers
7as first author
5since 2021 · last 2026
0000-0001-8835-3799ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 7 · 7 first-author · 5 since 2021
YearPublicationVenuePosition
2026 Persymmetric adaptive detectors design in the presence of deterministic subspace interference
Peiqin Tang, Jinfang Wen, Can Huang 0008, Weijian Liu 0001, Jun Liu 0004
Signal Process.1
2025 Durbin tests for distributed target detection in deterministic subspace interference and noise
Peiqin Tang, Xinyu Peng, Hong Xu 0010, Weijian Liu 0001, Jun Liu 0004
Signal Process.1
2025 Distributed target detection based on gradient test in deterministic subspace interference
Peiqin Tang, Zhenyu Xu 0013, Hong Xu 0010, Weijian Liu 0001, Jun Liu 0004, Yinghui Quan
Signal Process.1
2025 Persymmetric adaptive detection in the presence of subspace interference and clutter
Peiqin Tang, Can Huang 0008, Hong Xu 0010, Weijian Liu 0001, Jun Liu 0004
Signal Process.1
2022 Adaptive multichannel detectors for distributed target based on gradient test
Peiqin Tang, Ran Dong, Weijian Liu 0001, Jun Liu 0004, Qinglei Du
Signal Process.1
2020 Adaptive subspace signal detection in a type of structure-nonhomogeneity environment
Peiqin Tang, Weijian Liu 0001, Qinglei Du, Binbin Li 0007, Wei Chen 0106
Signal Process.1
2020 A Tunable Detector for Distributed Target Detection in the Situation of Signal Mismatch
abstract
This letter investigates the problem of distributed target detection with signal mismatch in homogeneous environment. Precisely, the actual signal steering vector is not aligned with the nominal one which is assumed by radar system. Within this framework, we propose a tunable detector which can adjust its directivity (robustness or selectivity) flexibly and effectively by changing a tunable parameter. Moreover, this tunable detector encompasses the generalized Kelly's generalized likelihood ratio test (GKGLRT) and the generalized adaptive matched filter (GAMF) as its two special cases. Finally, to test the effectiveness of this detector, the real data received by the IPIX radar are used for experiments. The results illustrate the superiority of the proposed detector both in simulation environment and realistic environment.
Peiqin Tang, Weijian Liu 0001, Qinglei Du, Changfei Wu, Wei Chen 0106
IEEE Signal Process. Lett.1