Improving the Tracking Error Signal Extraction in IR Seeker with Stationary Wagon Wheel Reticle over all Field of View

Document Type: Research Paper

Authors

1 Electrical Engineering, Malek-Ashtar university of Technology (MUT), Tehran, Iran

2 University Complex of Electrical and Electronic Engineering, Malek-Ashtar University of Technology, Tehran, Iran

3 Electrical Engineering, Malek-Ashtar university of Technology (MUT), Tehran, Iran

10.22061/jecei.2019.5062.187

Abstract

The accuracy of target position detection in IR seeker depends on the accuracy of tracking error signal (TES) extraction from seeker Field of View (FOV). The type of reticle inside the seeker determines the output modulation signal that carries the TES. In this paper, the stationary wagon wheel reticle is used, which makes the type of the output signal as FM modulation in the linear region of FOV, but the signal will be distorted by changing the radius of target image spot (TIS) and in the nonlinear region of FOV. Firstly, we applied the Hilbert transform algorithm for the first time in this field and compared it with the conventional algorithm in the linear region of FOV to decrease the effect of changing the radius of TIS. Secondly, we presented a new method in the nonlinear region to extract the TES. The results show improvement in TES accuracy extraction in the linear and nonlinear region over the FOV for different radii of TIS.

Graphical Abstract

Improving the Tracking Error Signal Extraction in IR Seeker with Stationary Wagon Wheel Reticle over all Field of View

Keywords


[1] J. Oh, K. Doo, S. Jahng, D. Seo, and J. S. Choi, “Novel adaptive digital signal processing algorithm for a stationary reticle seeker,” Optical Engineering, vol. 39, no. 10, pp. 2797-2804, 2000.

[2] A. Yrfanean, M. Mosavi, A. Mohammadi, and S. A. Yasin, “Improving the target position detection in the crossed array detectors seeker by categorizing the FOV up to the pulses distribution,” International Journal of Computer Applications, vol. 72, no. 4, pp. 28-36, 2013.

[3] G. Olsson, “Selected papers on reticles and their applications,” Society of Photo-Optical Instrumentation Engineers (SPIE), 1999.

[4] G. Olsson, “Simulation of reticle seekers by means of an image processing system,” Optical Engineering, vol. 33, no. 3, pp. 730- 737, 1994.

[5] T. M. Malatji, C. J. Willers, and M. S. Willers, “Propagation of a jam code signal in the conical-scan seeker processor,” in Proc. International Conference on Intelligent and Innovative Computing Applications (ICONIC), pp. 1-6, 2018.

[6] J. Jackman, M. Richardson, B. Butters, and R. Walmsley, "Modelling a man-portable air-defence ( MANPAD) system with a conical scan two-colour infrared (IR) seeker," in Proc. Technologies for Optical Countermeasures VIII, vol. 8187, p. 81870S, 2011.

[7] T. M. Malatji, W. P. du Plessis, and C. J. Willers, “Analysis of the jam signal effect against the conical-scan seeker,” Optical Engineering, vol. 58, no. 2, p. 025101, 2019.

[8] H. Boche and V. Pohl, “Investigations on the approximability and computability of the Hilbert transform with applications,” Applied and Computational Harmonic Analysis, Available online: https:// sciencedirect.com/science/article/abs/pii/S10635203183001 50.

[9] S. Qin, Y. Qin, and Y. Mao, “Accurate instantaneous frequency estimation with iterated Hilbert transform and its application,” in Proc. 7th WSEAS International Conference on Signal Processing, Robotics and Automation, pp. 165-170, 2008.

[10] Z. X. Hu, W. X. Ren, Z. C. Wang, Y. L. Jing, and X. Yang, “A generalized demodulation and Hilbert transform based signal decomposition method,” Shock and Vibration, vol. 2017, pp. 1- 12, 2017.

[11] J. Strickland, Missile Flight Simulation. Lulu. com, 2015.

[12] K. Li, J. Tian, C. Li, M. Liu, C. Yang, and G. Zhang, “The detection of low frequency oscillation based on the Hilbert-Huang transform method," in Proc. China International Conference on Electricity Distribution (CICED), pp. 1376-1379, 2018.