Çoklu Yansıma Ortamlarında Geniş Menzilli Hedeflerin Uyarlanabilir Radar Tespiti

Yıl 2023, Cilt: 13 Sayı: 4, 2583 - 2593, 01.12.2023

Harun Taha Hayvaci

https://doi.org/10.21597/jist.1274648

Öz

Bu makalede, Gauss gürültüsü altında gömülü geniş menzilli radar hedeflerinin uyumlu algılama problemi, dağınık çoklu yol ortamı varsayımı altında ele alınmıştır. Her aralık hücresinden hedef yankısı, doğrudan yol bileşenini hesaba katan bilinmeyen bir ölçek faktörüyle belirlenen belirli bir veri vektörü ve bir parlak yüzeyin çoklu yankılarını temsil eden bilinmeyen bir kovaryans matrisiyle Gaussian dağılımlı rastgele veri vektörünün toplamı olarak modellemiştir. Tasarım aşamasında, her birincil veri kovaryans matrisi, ikincil veri seti ile elde edilen örnek bir kovaryans matrisi çevresinde yer aldığı varsayılır. Adaptif tespit problemi için bir kısıttlı Genelleştirilmiş Olasılık Oranı Testi (GLRT) ele alınmıştır. Geliştirilen algoritmanın, literatürdeki iyi bilinen adaptif dedektörlerle performans analizi yapılmıştır. Sunulan sonuçlar ve performans analizi, önerilen yaklaşımın yayılmış çoklu yol varlığı olan ortamlarda geniş menzilli radar hedeflerinin tespit performansını artırdığını vurgulamaktadır.

Anahtar Kelimeler

Adaptif Radar Tespiti, Çoklu Yol Kullanımı, Geniş Menzilli Hedefler, Kısıtlı Optimizasyon, Genelleştirilmiş Olasılık Oranı Testi

Adaptive Radar Detection of Extended Targets in Diffuse Multipath Environments

Öz

This paper discusses the adaptive detection of extended radar targets buried in Gaussian clutter, assuming a diffuse multipath environment. The target return signal from each range cell is modeled as the sum of a deterministic data vector, which includes an unknown scaling factor representing the direct path component, and a randomly distributed data vector in a Gaussian distribution with unknown covariance matrix representing multipath echoes. During the design phase, it is assumed that the primary data covariance matrix falls within the vicinity of a sample covariance matrix that is devised from the secondary data set. The paper proposes a constraint Generalized Likelihood Ratio Test (GLRT) for the adaptive detection problem of extended radar targets in diffuse multipath environments, and conducts a performance analysis comparing the developed algorithm with well-known adaptive detectors in the literature. The results and performance analysis demonstrate that the proposed approach enhances the detection performance of extended radar targets in environments with diffuse multipath. Overall, this article provides valuable insights for improving the adaptive detection of extended targets in challenging environments, with potential applications in radar and sensing technologies.

Anahtar Kelimeler

Adaptive Radar Detection, Multipath Exploitation, Range Extended Targets, Constrained Optimization, Generalized Likelihood Ratio Test

Kaynakça

• A. D. Pamela and O. W. David, “Performance analysis of the incoherent and skewness matched filter detectors in multipath environments,” IEEE J. Ocean. Eng., vol. 20, no. 1, pp. 80–84, Jan. 1995.
• M. A. Richards, J. A. Scheer and W. A. Holm, Principles of Modern Radar Volume I: Basic Principles, Edison, NJ, USA:SciTech, 2010.
• Fertig, L.B.; Baden, M.J.; Kerce, J.C.; Sobota, D. “Localization and tracking with Multipath Exploitation Radar”, In Proceedings of the 2012 IEEE Radar Conference, Atlanta, GA, USA, 7–11 May 2012; pp. 1014–1018.
• K. Gerlach and M. J. Steiner, “Adaptive detection of range distributed targets,” IEEE Trans. Signal Process., vol. 47, no. 7, pp. 1844–1851, Jul. 1999.
• R. L. Fante, "Cancellation of specular and diffuse jammer multipath using a hybrid adaptive array", IEEE Trans. Aerosp. Electron. Syst, vol. 27, no. 5, pp. 823-837, 1991.
• R. L. Fante and J. A. Torres, "Cancellation of diffuse jammer multipath by an airborne adaptive radar", IEEE Trans. Aerosp. Electron. Syst, vol. 31, no. 2, pp. 805-820, 1995.
• A. Aubry, J. Carretero-Moya, A. De Maio, A. Pauciullo, J. Gismero-Menoyo, and A. Asensio-Lopez, “Detection of Extended Target in Compound-Gaussian Clutter,” in Modern Radar Detection Theory, IET A. De Maio and M. S. Greco, Eds., number chapter 9, pp. 333–374. Scitech Publishing, 2016.
• M. Tang, Y. Rong, J. Zhou, and X. R. Li, “Invariant adaptive detection of range-spread targets under structured noise covariance,” IEEE Trans. Signal Process., vol. 65, no. 12, pp. 3048–3061, Jun. 2017.
• C. G.Bachman, ”Some recent developments in RCS measurement techniques”, Proc. IEEE, Vol. 53, No. 8, pp. 208-216, 1965.
• E. Conte, A. De Maio and G. Ricci, “GLRT-based adaptive detection algorithms for range-spread targets”, IEEE Trans. Signal Process., Vol. 49, No. 7, pp. 1336-1348, 2001.
• E. Conte, A. De Maio and G. Ricci, “CFAR detection of distributed targets in non-Gaussian disturbance”, IEEE Trans. Aerosp. Electron. Sys., Vol. 38, No. 2, pp. 612-621, 2001.
• A. Aubry, A. De Maio, L. Pallotta and A. Farina, “Radar detection of distributed targets in homogeneous interference whose inverse covariance structure is defined via unitary invariant functions”, IEEE Trans. Signal Process., Vol. 61, No. 20, pp. 949-49618, 2013.
• Hayvaci, H.T.; De Maio, A.; Erricolo, D. Improved detection probability of a radar target in the presence of multipath with prior knowledge of the environment. IET Radar Sonar Navig. 2013, 7, 36–46.
• Kumbul, U.; Hayvaci, H.T. Multipath exploitation for knowledge-aided adaptive target detection. IET Radar Sonar Navig. 2019, 13, 863–870.
• Yilmaz, S.H.G.; Zarro, C.; Hayvaci, H.T.; Ullo, S.L. Adaptive waveform design with multipath exploitation radar in heterogeneous environments. Remote Sens. 2021, 13, 1628.
• S. Kraut, L. L. Scharf and L. T. McWhorter. “Adaptive subspace detectors”, IEEE Trans. Signal Process. Vol. 49, No. 1, pp. 1-16, 2001.
• F. Bandiera, A. De Maio, A.S. Greco and G. Ricci, “Adaptive radar detection of distributed targets in homogeneous and partially homogeneous noise plus subspace interference”, IEEE Trans. Signal Process., Vol. 55, No. 4, pp. 1223-1237, 2007.
• R. L. Fante, “Cancellation of specular and diffuse jammer multipath using a hybrid adaptive array”, IEEE Trans. Aerosp. Electon. Syst., vol. 27, no. 5, pp. 823-837, 1991.
• A. Aubry, A. De Maio, G. Foglia and D. Orlando, “Diffuse multipath exploitation for adaptive radar detection”, IEEE Trans. Signal Process., Vol. 63, No. 5, pp. 1268-1281, 2015.
• E. J. Kelly, “An adaptive detection algorithm”, IEEE Trans. Aerosp. Electron. Syst., vol. 22, no. 1, pp. 115-127, 1986.
• F. C. Robey, D. R. Fuhrmann, E. J. Kelly, R. Nitzberg, “A CFAR adaptive matched filter detector”, IEEE Trans. Aerosp. Electron. Syst., vol. 28, no. 1, pp. 208-216, 1992.
• S. Barbarossa and A. Farina, “Space-Time-Frequency Processing of Synthetic Aperture Radar Signals”, IEEE Trans. on Aerospace and Electronic Systems, vol. 30, no. 2, pp. 341-358, 1994.