[1] J.A. Fawcett, “Effect of course maneuvers on bearings-only range estimation,” IEEE Transactions On Acoustics Speech and Signal Processing, vol. 36, no.8, p.p. 1193–1199, 1988.
[2] Y. Oshman and P. Davidson, “Optimization of observer trajectories for bearings-only target localization,” IEEE Transactions on Aerospace and Electronic Systems, vol. 35, no. 3, p.p. 892–902, 1999.
[3] M. Gavish and A. J. Weiss, “Performance analysis of bearing-only target location algorithms,” IEEE Transactions on Aerospace and Electronic System, vol.28, no.3 , p.p 817–828, 1992.
[4] Popoli. R and S. Blackman, “Design and Analysis of Modern Tracking Systems,” Artech House radar library. Artech House 1 1999.
[5] M. F. Huber, “Chebyshev polynomial Kalman filter,” Digital Signal Processing, vol. 23 ,no. 5,p. p. 1620–1629, 2013.
[6] T. Yang, P. G. Mehta, and S. P. Meyn, “Feedback particle filter,” IEEE Transactions on Automatic Control, vol.58, no.10, p. p. 2465–2480, 2013.
[7] B. Jia, M. Xin, and Y. Cheng, “High-degree cubature Kalman filter,” Automatica,vol. 49, no. 2, p.p 510–518, 2013.
[8] L. Badriasl, and. K. Dogancay, “Three-Dimensional Target Motion Analysis Using Azimuth/Elevation Angles,” IEEE Transactions On Aerospace And Electronic System, vol.50, no.4, p.p. 3178-3194, 2014.
[9] L. Scala and M,B Morelande, “An analysis of the single sensor bearings-only tracking problem,” 11 th International Conference on Information Fusion, p.p 1-6, 2008.
[10] O. Straka, J. Dunik and M. Simandl, “Performance Evaluation of Local State Estimation Methods in Bearings-only Tracking Problems,” 14 th International Conference on Information Fusion, p.p 1-8, 2011.
[11] A.G. Lindgren, K.F. Gong, “Position and Velocity Estimation Via Bearing Observations,” IEEE Transactions on Aerospace and electronic systems, vol.4, p.p 564-577, 1978.
[12] M. T. Sabet, A. R. Fathi, and H. R. Mohammadi Daniali, “Optimal design of the own ship maneuver in the bearing-only target motion analysis problem using a heuristically supervised extended Kalman filter,” Ocean Engineering, vol. 123, p.p 146–153, 2016.
[13] B. Ristic and M. S. Arulampalam, “Tracking a manoeuvring target using angle-only measurements: algorithms and performance,” Signal Processing ,vol.83, p.p 1223–1238, 2003.
[14] H. E. Soken, C. Hacizade, and S. Sakai, “Simultaneous adaptation of the process and measurement noise covariances for the UKF applied to nanosatellite attitude estimation, IFAC Proceedings, vol. 47, no. 3 p.p 5921-5926, 2014.
[15] X. Wang, Z. You, and K. Zhao, “Inertial/celestial-based fuzzy adaptive unscented Kalman filter with Covariance Intersection algorithm for satellite attitude determination,” Aerospace Science and Technology,vol.48, p. p 214–222, 2016.
[16] B. Feng, M. Fu, H. Ma, Y. Xia, and B. Wang, “Kalman Filter With Recursive Covariance Estimation & Sequentially Estimating Process Noise Covariance,” IEEE Transactions on Industrial Electronics , vol.61, p.p 6253-6263, 2014.
[17] le Cadre, J-P., and S. Laurent-Michel, “Optimizing the receiver maneuvers for bearings-only tracking,” Automatica, vol.35, no.4, p.p 591–606, 1999.
[18] Li , X. Rong. and V. P. Jilkov, “Survey of maneuvering target tracking. Part I. Dynamic models,” IEEE Transaction on Aerospace and Elecreonic Systems, vol.39, no.4, p.p 1333-1364, 2003.
[19] J. Lan, X. R. Li, V. P. Jilkov, and C. Mu, “Second-Order Markov Chain Based Multiple-Model Algorithm for Maneuvering Target Tracking,” IEEE Transactions on Aerospace and Electronic Systems,vol.49, no.1, p.p 3-19, 2013.
[20] Blom, AP. Henk, and y. Bar-Shalom,.“The interacting multiple model algorithm for systems with Markovian switching coefficients,” IEEE Transactions on Automatic Control, vol.33, no.8, p.p 780-783, 1998.
[21] Nardone, C. Steven. and. M. L. Graham.,“A closed-form solution to bearings-only target motion analysis ,” IEEE Journal of Oceanic Engineering,vol.22,no.1 ,p. p. 168-178, 1997.
[22] B. Ristic, S. Arulampalam, and N. Gordon, “Beyond the Kalman Filter: Particle Filters for Tracking Applications,” Artech House,2003.
[23] A. Farina, “ Target tracking with bearings-Only measurements,” Signal Processing, vol78, no.1, p.p 61–78, 1999.
[24] S. E. Hammel, P.T. Liu, E.J. Hilliard, et.al, “Optimal observer motion for localization with bearing measurements,” Computers and Mathematics with applications vol.18, no01-3 , p.p 171-180, 1989.
[25] S. E. Hammel, and V. J. Aidala, “Observability requirements for three dimensional tracking via angle measurements,” IEEE Transactions on Aerospace and Electronic Systems, vol.2, p.p 200–207, 1985.
[26] S. C. Nardone, and V. J. Aidala, “Observability criteria for bearings-only target motion analysis,” IEEE Transactions on Aerospace and Electronic systems vol.2 , p.p 162–166, 1981.
[27] Le Cadre , J.-P. and O. Tremois, “Bearings-only tracking for maneuvering sources,” IEEE Transactions on Aerospace and Electronic Systems, vol.34, no.1, p.p 179-193, 1998.
[28] Ristic , Branko, and B. Arulampalam., “Bernoulli Particle Filter with Observer Control for Bearings-Only Tracking in Clutter,” IEEE Transactions on Aerospace and Electronic Systems, vol.48, no.3, p.p 2405–2415, 2012.
[29] D. H. Dini, C. Jahanchahi, and D. P. Mandic, “Kalman filtering for widely linear complex and quaternion valued bearings only tracking,” IET Signal Processing, vol.6, no.5, p.p 435–445, 2012.
[30] K. Ito and K. Xiong, “Gaussian filters for nonlinear filtering problems,” IEEE Transactions on Automatic Control, vol 45, no.5, p.p 910–927, 2000.
[31] J. L. Kraige and L. G. Meriam, “Engineering Mechanics: Dynamics 7th Edition: Dynamics,” Wiley, 2012.