Improved detection probability of a radar target in the presence of multipath with prior knowledge of the environment
- Author(s): Harun Taha Hayvaci 1 ; Antonio De Maio 2 ; Danilo Erricolo 1
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View affiliations
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Affiliations:
1:
Department of Electrical and Computer Engineering, University of Illinois at Chicago, Chicago, USA;
2: Department of Biomedical, Electronic and Telecommunications Engineering, University of Naples ‘Federico II’ Napoli, Italy
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Affiliations:
1:
Department of Electrical and Computer Engineering, University of Illinois at Chicago, Chicago, USA;
- Source:
Volume 7, Issue 1,
January 2013,
p.
36 – 46
DOI: 10.1049/iet-rsn.2012.0081 , Print ISSN 1751-8784, Online ISSN 1751-8792
A new method to address radar target detection problems in multipath environments is considered. The novelty of the proposed method is that it exploits prior knowledge on the environment and combines it with ray-tracing electromagnetic modelling to determine some information about the possible multipath structure. This information is used to separate the environment into different regions based upon the behaviour of the multipath components. Specifically, as a case study, the authors consider a radar and a target in the presence of a perfectly reflecting planar surface. For this environment, three regions are determined based on the amount of overlap among the multipath components. For each region, receivers are designed exploiting the multipath structure. Thus, a different viewpoint to analyse radar detection problems is suggested. The two main results are the improvement in the target probability of detection, by properly accounting for the multipath and a priori determination of the best performing detector based upon the location of the target and the available signal-to-noise ratio.
Inspec keywords: ray tracing; radar receivers; radar target recognition
Other keywords:
References
-
-
1)
-
18. Erricolo, D., D'Elia, G., Uslenghi, P.L.E.: ‘Measurements on scaled models of urban environments and comparisons with ray-tracing propagation simulation’, IEEE Trans. Antennas Propag., 2002, 50, (5), pp. 727–735.
-
-
2)
-
31. Kay, S.M.: ‘Fundamentals of statistical signal processing, estimation theory’ (Prentice-Hall, New Jersey, 1993), vol. 1.
-
-
3)
-
22. Kay, S.M.: ‘Fundamentals of statistical signal processing, detection theory’ (Prentice-Hall, New Jersey, 1998), vol. 2.
-
-
4)
-
7. Gini, F. (Ed.): ‘Knowledge-based systems for adaptive radar: detection, tracking and classification’, IEEE Signal Process. Mag., 2006, 23, (1), pp. 14–76.
-
-
5)
-
17. Erricolo, D., Uslenghi, P.L.E.: ‘Two-dimensional simulator for propagation in urban environments’, IEEE Trans. Veh. Technol., 2001, 50, (4), pp. 1158–1168.
-
-
6)
-
8. Guerci, J.R., Melvin, W.L.(Eds.): ‘Special section on knowledge-aided sensor signal and data processing’, IEEE Trans. Aerosp. Electron. Syst., 2006, 42, (3), pp. 983–1120.
-
-
7)
-
29. Setlur, P., Amin, M.G., Ahmad, F.: ‘Multipath model and exploitation in through-the-wall and urban radar sensing’, IEEE Trans. Geosci. Remote Sens., 2011, 49, (10), pp. 4021–4034.
-
-
8)
-
20. Conte, E., De Maio, A., Galdi, C.: ‘Signal detection in compound-Gaussian noise: Neyman-Pearson and CFAR detectors’, IEEE Trans. Signal Process., 2000, 48, (2), pp. 419–428.
-
-
9)
-
23. Hayvaci, H.T., Setlur, P., Devroye, N., Erricolo, D.: ‘Maximum likelihood time delay estimation and Cramér-Rao bounds for multipath exploitation’. Radar Conf. (RADAR), 2012 IEEE, 7–11 May 2012, pp. 0764–0768.
-
-
10)
-
2. Nathanson, F.E., Reilly, J.P., Cohen, M.N.: ‘Radar design principles, signal processing and the environment’ (Scitech Publishing, Mendham, New Jersey, 1999).
-
-
11)
-
16. Beard, C.: ‘Coherent and incoherent scattering of microwaves from the ocean’, IRE Trans. Antennas Propag., 1961, 9, (5), pp. 470–483.
-
-
12)
-
26. Chakraborty, B., Li, Y., Zhang, J.J., Trueblood, T., Papandreou-Suppappola, A., Morrell, D.: ‘Multipath exploitation with adaptive waveform design for tracking in urban terrain’. Proc. 2010 IEEE Int. Conf. Acoustics Speech and Signal Processing (ICASSP), 14–19 March 2010, pp. 3894–3897.
-
-
13)
-
28. Krishnan, V., Yazici, B.: ‘Synthetic aperture radar imaging exploiting multiple scattering’, Inverse Probl., 2011, 27, (5), pp. 055004.
-
-
14)
-
19. Erricolo, D., Crovella, U.G., Uslenghi, P.L.E.: ‘Time-domain analysis of measurements on scaled urban models with comparisons to ray-tracing propagation simulation’, IEEE Trans. Antennas Propag., 2002, 50, (5), pp. 736–741.
-
-
15)
-
27. Sen, S., Nehorai, A.: ‘Adaptive OFDM radar for target detection in multipath scenarios’, IEEE Trans. Signal Process., 2011, 59, (1), pp. 78–90.
-
-
16)
-
25. Krolik, J.L., Farrell, J., Steinhardt, A.: ‘Exploiting multipath propagation for GMTI in urban environments’. Proc. 2006 IEEE Radar Conf. (RADAR), April 2006, pp. 24–27.
-
-
17)
-
10. Dogaru, T., Sullivan, A., Kenyon, C., Le, C.: ‘Radar signature prediction for sensing-through-the-wall by xpatch and AFDTD’. High Performance Computing Modernization Program Users Group Conf. (HPCMP-UGC), 2009 DoD, 15–18 June 2009, pp. 339–343.
-
-
18)
-
13. Hayvaci, H.T., De Maio, A., Erricolo, D.: ‘Diversity in receiving strategies based on time-delay analysis in the presence of multipath’. Proc. 2011 IEEE Int. Symp. Antennas and Propagation and USNC/URSI National Radio Science Meeting, Spokane, Washington, USA, 3–8 July 2011.
-
-
19)
-
3. Benedetto, S., Biglieri, E.: ‘Principles of digital transmission with wireless applications’ (Kluwer Academic Publishers, New York, 2002), Ch. 13.
-
-
20)
-
1. Skolnik, M.I. (Ed.): ‘Radar handbook’ (The McGraw-Hill Companies, 2008).
-
-
21)
-
21. Van Trees, H.L.: ‘Detection, estimation and modulation theory’ (John Wiley & Sons, New York, 2001), vol. 1.
-
-
22)
-
5. Melvin, W.L.: ‘Space-time adaptive radar performance in heterogenous clutter’, IEEE Trans. Aerosp. Electron. Syst., 2000, 36, (2), pp. 621–633.
-
-
23)
-
9. De Maio, A., Farina, A., Foglia, G.: ‘Design and experimental validation of knowledge-based constant false alarm rate detectors’, IET Proc. Radar Sonar Navig., 2007, 1, (4), pp. 308–316.
-
-
24)
-
30. Setlur, P., Smith, G.E., Ahmad, F., Amin, M.G.: ‘Target localization with a single sensor via multipath exploitation’, IEEE Trans. Aerosp. Electron. Syst., 2012, 48, (3), pp. 1996–2014.
-
-
25)
-
15. Beard, C., Katz, I., Spetner, L.: ‘Phenomenological vector model of microwave reflection from the ocean’, IRE Trans. Antennas Propag., 1956, 4, (2), pp. 162–167.
-
-
26)
-
24. Imhof, J.P.: ‘Computing the distribution of quadratic forms in normal variables’, Biometrika, 1961, 48, (3/4), pp. 417–426.
-
-
27)
-
14. Hayvaci, H.T., De Maio, A., Erricolo, D.: ‘Performance analysis of diverse GLRT detectors in the presence of multipath’. Radar Conf. (RADAR), 2012 IEEE, 7–11 May 2012, pp. 0902–0906.
-
-
28)
-
4. Robey, F.C., Fuhrmann, D.R., Kelly, E.J., Nitzberg, R.: ‘A CFAR adaptive matched filter detector’, IEEE Trans. Aerosp. Electron. Syst., 1992, 28, (1), pp. 208–216.
-
-
29)
-
6. De Maio, A., Farina, A., Wicks, M.: ‘KB-GLRT: exploiting knowledge of the clutter ridge in airborne radar’, IEE Proc., Radar Sonar Navig., 2005, 152, (6), pp. 421–428.
-
-
30)
-
11. Dogaru, T., Sullivan, A., Le, C., Kenyon, C.: ‘Radar signature prediction for sensing-through-the-wall by xpatch and AFDTD – Part II’. High Performance Computing Modernization Program Users Group Conf. (HPCMP-UGC), 2010 DoD, 14–17 June 2010, pp. 401–406.
-
-
31)
-
12. Hayvaci, H.T., De Maio, A., Erricolo, D.: ‘Diversity in receiving strategies based on time-delay analysis in the presence of multipath’.Radar Conf. (RADAR), 2011 IEEE, 23–27 May 2011, pp. 1040–1045.
-
-
32)
- H.L. van Trees . (1968) Detection, estimation and modulation theory.
-
33)
- C. Beard , I. Katz , L. Spetner . Phenomenological vector model of microwave reflection from the ocean. IRE Trans. Antennas Propag. , 2 , 162 - 167
-
34)
- Krolik, J.L., Farrell, J., Steinhardt, A.: `Exploiting multipath propagation for GMTI in urban environments', Proc. 2006 IEEE Radar Conf. (RADAR), April 2006, p. 24–27.
-
35)
- V. Krishnan , B. Yazici . Synthetic aperture radar imaging exploiting multiple scattering. Inverse Probl. , 5
-
36)
- W.L. Melvin . Space-time adaptive radar performance in heterogeneous clutter. IEEE Trans. Aerosp. Electron. Syst. , 2 , 621 - 633
-
37)
- F.E. Nathanson , J.P. Riley , M.P. Cohen . (1990) Radar design principles, signal processing and the environment.
-
38)
- A. De Maio , A. Farina , G. Foglia . Design and experimental validation of knowledge-based constant false alarm rate detectors. IET Proc. Radar Sonar Navig. , 4 , 308 - 316
-
39)
- D. Erricolo , U.G. Crovella , P.L.E. Uslenghi . Time-domain analysis of measurements on scaled urban models with comparisons to ray-tracing propagation simulation. IEEE Trans. Antennas Propag. , 5 , 736 - 741
-
40)
- C.I. Beard . Coherent and incoherent scattering of microwaves from the ocean. IRE Trans. , 5 , 470 - 483
-
41)
- Hayvaci, H.T., Setlur, P., Devroye, N., Erricolo, D.: `Maximum likelihood time delay estimation and Cramér-Rao bounds for multipath exploitation', Radar Conf. (RADAR), 2012 IEEE, 7–11 May 2012, p. 0764–0768.
-
42)
- Dogaru, T., Sullivan, A., Kenyon, C., Le, C.: `Radar signature prediction for sensing-through-the-wall by xpatch and AFDTD', High Performance Computing Modernization Program Users Group Conf. (HPCMP-UGC), 2009 DoD, 15–18 June 2009, p. 339–343.
-
43)
- Chakraborty, B., Li, Y., Zhang, J.J., Trueblood, T., Papandreou-Suppappola, A., Morrell, D.: `Multipath exploitation with adaptive waveform design for tracking in urban terrain', Proc. 2010 IEEE Int. Conf. Acoustics Speech and Signal Processing (ICASSP), 14–19 March 2010, p. 3894–3897.
-
44)
- Hayvaci, H.T., De Maio, A., Erricolo, D.: `Diversity in receiving strategies based on time-delay analysis in the presence of multipath', Radar Conf. (RADAR), 2011 IEEE, 23–27 May 2011, p. 1040–1045.
-
45)
- A. De Maio , A. Farina , M. Wicks . KB-GLRT: exploiting knowledge of the clutter ridge in airborne radar. IEE Proc. Radar Sonar Navig. , 6 , 421 - 428
-
46)
- P. Setlur , G.E. Smith , F. Ahmad , M.G. Amin . Target localization with a single sensor via multipath exploitation. IEEE Trans. Aerosp. Electron. Syst. , 3 , 1996 - 2014
-
47)
- D. Erricolo , P.L.E. Uslenghi . Two-dimensional simulator for propagation in urban environments. IEEE Trans. Veh. Technol. , 4 , 1158 - 1168
-
48)
- Dogaru, T., Sullivan, A., Le, C., Kenyon, C.: `Radar signature prediction for sensing-through-the-wall by xpatch and AFDTD – Part II', High Performance Computing Modernization Program Users Group Conf. (HPCMP-UGC), 2010 DoD, 14–17 June 2010, p. 401–406.
-
49)
- J.P. Imhof . Computing the distribution of quadratic forms in normal variables. Biometrika , 3 , 419 - 426
-
50)
- S. Benedetto , E. Biglieri . (1999) Principles of digital transmission with wireless applications.
-
51)
- S.M. KAY . (1993) Fundamentals of statistical signal processing, detection theory.
-
52)
- M.I. Skolnik . (1990) Radar handbook.
-
53)
- Hayvaci, H.T., De Maio, A., Erricolo, D.: `Diversity in receiving strategies based on time-delay analysis in the presence of multipath', Proc. 2011 IEEE Int. Symp. Antennas and Propagation and USNC/URSI National Radio Science Meeting, 3–8 July 2011, Spokane, Washington, USA.
-
54)
- D. Erricolo , G. D'Elia , P.L.E. Uslenghi . Measurements on scaled models of urban environments and comparisons with ray-tracing propagation simulation. IEEE Trans. Antennas Propag. , 5 , 727 - 735
-
55)
- S.M. Kay . (1998) Fundamentals of statistical signal processing, estimation theory.
-
56)
- 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
-
57)
- F. Gini . Knowledge-based systems for adaptive radar: detection, tracking and classification. IEEE Signal Process. Mag. , 1 , 14 - 76
-
58)
- S. Sen , A. Nehorai . Adaptive OFDM radar for target detection in multipath scenarios. IEEE Trans. Signal Process. , 1 , 78 - 90
-
59)
- P. Setlur , M.G. Amin , F. Ahmad . Multipath model and exploitation in through-the-wall and urban radar sensing. IEEE Trans. Geosci. Remote Sens. , 10 , 4021 - 4034
-
60)
- Hayvaci, H.T., De Maio, A., Erricolo, D.: `Performance analysis of diverse GLRT detectors in the presence of multipath', Radar Conf. (RADAR), 2012 IEEE, 7–11 May 2012, p. 0902–0906.
-
61)
- W.L. Melvin , J.R. Guerci . Knowledge-aided signal processing: a new paradigm for radar and other advanced sensors. IEEE Trans. Aerosp. Electron. Syst. , 3 , 983 - 996
-
62)
- E. Conte , A. De Maio , C. Galdi . Signal detection in compound-Gaussian noise: Neyman-Pearson and CFAR detectors. IEEE Trans. Signal Process. , 2 , 419 - 428
-
1)