Generalised parametric Rao test for multi-channel adaptive detection of range-spread targets
Generalised parametric Rao test for multi-channel adaptive detection of range-spread targets
- Author(s): P. Wang ; H. Li ; T.R. Kavala ; B. Himed
- DOI: 10.1049/iet-spr.2011.0313
For access to this article, please select a purchase option:
Buy article PDF
Buy Knowledge Pack
IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.
Thank you
Your recommendation has been sent to your librarian.
- Author(s): P. Wang 1 ; H. Li 1 ; T.R. Kavala 1 ; B. Himed 2
-
-
View affiliations
-
Affiliations:
1: Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, USA
2: Department of Electrical and Computer Engineering, AFRL/RYMD, Dayton, USA
-
Affiliations:
1: Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, USA
- Source:
Volume 6, Issue 5,
July 2012,
p.
404 – 412
DOI: 10.1049/iet-spr.2011.0313 , Print ISSN 1751-9675, Online ISSN 1751-9683
This study considers the problem of detecting a multi-channel signal of range-spread targets in a homogeneous environment, where the disturbances in both test signal and training signals share the same covariance matrix. To this end, a generalised parametric Rao (GP-Rao) test is developed by modelling the disturbance as a multi-channel auto-regressive process. The GP-Rao test uses less training data and is computationally more efficient, when compared with conventional covariance matrix-based solutions. The theoretical detection performance of the GP-Rao test is characterised in terms of the asymptotic distribution under both hypotheses. Numerical results indicate that the proposed GP-Rao test attains asymptotically the constant false alarm rate property. Numerical results show that the GP-Rao test achieves better detection performance and uses significantly less training signals than the covariance matrix-based approach.
Inspec keywords: covariance matrices; autoregressive processes; statistical distributions; object detection; statistical testing; adaptive signal detection
Other keywords:
Subjects: Signal detection; Algebra; Signal processing theory; Other topics in statistics; Other topics in statistics; Algebra
References
-
-
1)
- J.R. Román , M. Rangaswamy , D.W. Davis , Q. Zhang , B. Himed , J.H. Michels . Parametric adaptive matched filter for airborne radar applications. IEEE Trans. Aerosp. Electron. Syst. , 2 , 677 - 692
-
2)
- P. Wang , H. Li , B. Himed . Knowledge-aided parametric tests for multichannel adaptive signal detection. IEEE Trans. Signal Process. , 12 , 5970 - 5982
-
3)
- P.K. Huges . A high-resolution radar detection strategy. IEEE Trans. Aerosp. Electron. Syst. , 5 , 663 - 667
-
4)
- T. Jian , Y. He , F. Su , C. Qu , D. Ping . Adaptive detection of sparsely distributed target in non-Gaussian clutter. IET Radar, Sonar Navig. , 7 , 780 - 787
-
5)
- E. Conte , A. De Maio , G. Ricci . CFAR detection of distributed targets in non-Gaussian disturbance. IEEE Trans. Aerosp. Electron. Syst. , 2 , 612 - 621
-
6)
- F. Bandiera , G. Ricci . Adaptive detection and interference rejection of multiple point-like radar targets. IEEE Trans. Signal Process. , 12 , 4510 - 4518
-
7)
- P. Wang , H. Li , B. Himed . Parametric Rao tests for multichannel adaptive detection in partially homogeneous environment. IEEE Trans. Aerosp. Electron. Syst. , 3 , 1850 - 1862
-
8)
- Y.I. Abramovich , N.K. Spencer , M. Turley . Time-varying autoregressive (TVAR) models for multiple radar observations. IEEE Trans. Signal Process. , 4 , 1298 - 1311
-
9)
- P.L. Shui , S.W. Xu , H.W. Liu . Range-spread target detection using consecutive HRRPs. IEEE Trans. Aerosp. Electron. Syst. , 1 , 647 - 665
-
10)
- G. Alfano , A. De Maio , A. Farina . Model-based adaptive detection of range-spread targets. IEE Proc., Radar Sonar Navig. , 1 , 2 - 10
-
11)
- N. Bon , A. Khenchaf , R. Garello . GLRT subspace detection for range and Doppler distributed targets. IEEE Trans. Aerosp. Electron. Syst. , 2 , 678 - 696
-
12)
- S. Lawrence Marple , P.M. Corbell , M. Rangaswamy . (2007) Multichannel fast parametric algorithms and performance for adaptive radar, Proc. 41st Asilomar Conf. on Signals.
-
13)
- K. Gerlach , M.J. Steiner . Adaptive detection of range distributed targets. IEEE Trans. Signal Process. , 7 , 1844 - 1851
-
14)
- T. Jian , Y. He , F. Su , C. Qu . Adaptive range-spread target detection based on modified generalised likelihood ratio test in non-Gaussian clutter. IET Radar, Sonar Navig. , 9 , 970 - 977
-
15)
- K. Gerlach . Spatially distributed target detection in non-Gaussian clutter. IEEE Trans. Aerosp. Electron. Syst. , 3 , 926 - 934
-
16)
- K.J. Sohn , H. Li , B. Himed . Parametric Rao test for multichannel adaptive signal detection. IEEE Trans. Aerosp. Electron. Syst. , 3 , 920 - 933
-
17)
- D.R. Wehner . (1995) High-resolution radar.
-
18)
- K.J. Sohn , H. Li , B. Himed . Parametric GLRT for multichannel adaptive signal detection. IEEE Trans. Signal Process. , 11 , 5351 - 5360
-
19)
- S.M. Kay . (1998) Fundamentals of statistical signal processing: detection theory.
-
20)
- P. Wang , H. Li , B. Himed . A new parametric GLRT for multichannel adaptive signal detection. IEEE Trans. Signal Process. , 1 , 317 - 325
-
21)
- F.C. Robey , D.R. Fuhrmann , E.J. Kelly , R. Nitzberg . A CFAR adaptive matched filter detector. IEEE Trans. Aerosp. Electron. Syst. , 1 , 208 - 216
-
22)
- Y. He , T. Jian , F. Su , C.W. Qu , X.F. Gu . Novel range-spread target detectors in non-Gaussian clutter. IEEE Trans. Aerosp. Electron. Syst. , 3 , 1312 - 1328
-
23)
- E. Conte , A.D. Maio , G. Ricci . GLRT-based adaptive detection algorithms for range spread targets. IEEE Trans. Signal Process. , 1336 - 1348
-
24)
- A. De Maio , A. Farina , K. Gerlach . Adaptive detection of range spread targets with orthogonal rejection. IEEE Trans. Aerosp. Electron. Syst. , 2 , 738 - 752
-
25)
- F. Bandiera , A. De Maio , A.S. Greco , G. Ricci . Adaptive radar detection of distributed targets in homogeneous and partially homogeneous noise plus subspace interference. IEEE Trans. Signal Process. , 4 , 1223 - 1237
-
26)
- P. Wang , H. Li , B. Himed . A Bayesian parametric test for multichannel adaptive signal detection in non-homogeneous environments. IEEE Signal Process. Lett. , 4 , 351 - 354
-
27)
- A. de Maio . Rao test for adaptive detection in Gaussian interference with unknown covariance matrix. IEEE Trans. Signal Process. , 7 , 3577 - 3584
-
28)
- E. Conte , A. De Maio . Distributed target detection in compound-Gaussian noise with Rao and Wald tests. IEEE Trans. Aerosp. Electron. Syst. , 2 , 568 - 582
-
29)
- K. Gerlach , M. Steiner , F.C. Lin . Detection of a spatially distributed target in white noise. IEEE Signal Process. Lett. , 7 , 198 - 200
-
30)
- F. Bandiera , O. Besson , G. Ricci . Adaptive detection of distributed targets in compound-Gaussian noise without secondary data: a Bayesian approach. IEEE Trans. Signal Process. , 12 , 5698 - 5708
-
31)
- P. Parker , A. Swindlehurst . Space-time autoregressive filtering for matched subspace STAP. IEEE Trans. Aerosp. Electron. Syst. , 2 , 510 - 519
-
32)
- J. Ward . (1994) Space-time adaptive processing for airborne radar.
-
33)
- Lawrence Marple, S., Corbell, P.M., Rangaswamy, M.: `Performance tradeoffs for multi-channel parametric adaptive radar algorithms', Proc. 2008 Int. Conf. on Radar, September 2008, p. 154–159.
-
34)
- J. Guan , X.L. Zhang . Subspace detection for range and Doppler distributed targets with Rao and Wald tests. Signal Process. , 1 , 51 - 60
-
35)
- F. Bandiera , D. Orlando , G. Ricci . CFAR detection strategies for distributed targets under conic constraints. IEEE Trans. Signal Process. , 9 , 3305 - 3316
-
36)
- R. Klemm . (2002) Principles of space-time adaptive processing.
-
1)