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pro vyhledávání: '"Zuozhen Wang"'
Distributed Target Detection Using Samples Filtered with Normalized Conjugate Signal Steering Vector
Autor:
Zuozhen Wang
Publikováno v:
Circuits, Systems, and Signal Processing. 39:4762-4774
This paper studied the problem of adaptive detection of distributed targets in colored noise with unknown covariance matrix (CM), for the case where limited noise-only (training) data are available to estimate this CM. We first filter the test and tr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13aa99e7fe60d080aaf0033f0563f239
https://doi.org/10.1007/s00034-020-01389-8
https://doi.org/10.1007/s00034-020-01389-8
Publikováno v:
IEEE Signal Processing Letters. 27:565-569
For target detection in Gaussian noise with unknown covariance matrix, usually sufficient training data are needed to form a nonsingular estimate of the noise covariance matrix. However sufficient training data could not be satisfied in practice. Aim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e6ffbcfa92d3a07efcfc61afbc17cda
https://doi.org/10.1109/lsp.2020.2982768
https://doi.org/10.1109/lsp.2020.2982768
Publikováno v:
Digital Signal Processing. 92:139-150
The problem of detecting a subspace signal embedded in subspace Gaussian interference and thermal noise is studied in this paper. In this problem, both the signal-independent and signal-dependent interferences are assumed to be present, therefore the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2214a8b33967bf19a48e473f3173cd8e
https://doi.org/10.1016/j.dsp.2019.05.010
https://doi.org/10.1016/j.dsp.2019.05.010
Publikováno v:
Signal Processing. 158:36-47
This paper approaches the problem of detecting a point-like target in Gaussian background. The useful signal lies in an one-dimensional subspace spanned by a known steering vector. The Gaussian disturbance fills the whole observation space. Since the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6142f90c71515501c4a92c08d341609
https://doi.org/10.1016/j.sigpro.2018.12.011
https://doi.org/10.1016/j.sigpro.2018.12.011
Publikováno v:
Signal Processing. 153:58-70
In this paper, the target detection problem is studied in system-dependent clutter (SDC) background where the clutter and signal of interest (SOI) propagate in the same channels. The received data model applied here, named as multiple observations da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8814e04211374795ba9d87aea927b008
https://doi.org/10.1016/j.sigpro.2018.06.021
https://doi.org/10.1016/j.sigpro.2018.06.021
Publikováno v:
ICCAIS
For target detection in unknown noise, sufficient secondary data are needed to form a nonsingular estimate of the noise covariance matrix (NCM). However the secondary data size is usually small in practice. Aiming to deal with the cases of limited se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e52479c9e7585499ca78592a8086c06d
https://doi.org/10.1109/iccais46528.2019.9074692
https://doi.org/10.1109/iccais46528.2019.9074692
Publikováno v:
2019 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC).
Distributed targets detection in Gaussian noise is studied. Since the noise power is possible to change from cell to cell due to the heterogeneity of the surveillance area, the noise in the test/training data is assumed to have the same structure of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2622638307b563adea834dc76992103
https://doi.org/10.1109/icspcc46631.2019.8960766
https://doi.org/10.1109/icspcc46631.2019.8960766
Publikováno v:
Digital Signal Processing. 59:86-99
Considering the filters with variable step-sizes outperform their fixed step-sizes versions and the combination algorithms with proper mixing parameters outperform their components, a combination algorithm consisting of improved variable step-size af
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1609c4a39fa63267abf6348c68937fdb
https://doi.org/10.1016/j.dsp.2016.07.022
https://doi.org/10.1016/j.dsp.2016.07.022
Publikováno v:
Circuits, Systems, and Signal Processing. 36:1948-1969
Aiming to accelerate convergence speed and reduce steady-state misalignment of adaptive filter, a new data-reusing algorithm is proposed. Different from conventional affine projection algorithm (APA) based on minimum disturbance principle (MDP), the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e3f8fc87e8d66b8447a37fb9c06294f
https://doi.org/10.1007/s00034-016-0387-3
https://doi.org/10.1007/s00034-016-0387-3
Publikováno v:
Circuits, Systems, and Signal Processing. 36:1989-2011
In order to accelerate the convergence rate and reduce the steady-state misalignment of the affine projection sign algorithm (APSA), a novel variable step-size APSA based on a posteriori estimation error (APEE) analysis is proposed. The new algorithm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::189176fb6075d652f62e539cb655ffce
https://doi.org/10.1007/s00034-016-0389-1
https://doi.org/10.1007/s00034-016-0389-1