Progress In Electromagnetics Research B
ISSN: 1937-6472
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By Y. Kim and H. Ling

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An array processing algorithm based on artificial neural networks (ANNs) is proposed to estimate the directions of arrival (DOAs) of moving humans using a small sensor array. In the approach, software beamforming is first performed on the received signals from the sensor elements to form a number of overlapping beams. The received signals from all the beams produce a unique "signature" in accordance with the target locations as well as the number of targets. The target tracking procedure is handled by two separate ANNs in sequence. The first ANN determines the number of targets, and the second ANN estimates their respective DOAs. The ANNs are trained using simulation data generated based on a point scatterer model in free space. The proposed approach is tested using measurement data from two loudspeakers and two walking humans in line-of-sight and through-wall environments.

Y. Kim and H. Ling, "Direction of arrival estimation of humans with a small sensor array using an artificial neural network," Progress In Electromagnetics Research B, Vol. 27, 127-149, 2011.

1. Frazier, L. M., "Motion detector radar for law enforcement," IEEE Potentials, Vol. 16, 23-26, Jan. 1998.

2. Nag, S., M. A. Barnes, T. Payment, and G. Holladay, "Ultrawideband through-wall radar for detecting the motion of people in real time," SPIE Proc. Radar Sensor Technology and Data Visualization, Vol. 4744, 48-57, Jul. 2002.

3. Geisheimer, J. L., E. F. Greneker, and W. S. Marshall, "High-resolution Doppler model of the human gait," SPIE Proc. Radar Sensor Technology and Data Visualization, Vol. 4744, 8-18, Jul. 2002.

4. Lai, C. P. and R. M. Narayanan, "Through-wall imaging and characterization of human activity using ultrawideband (UWB) random noise radar," Proc. of SPIE, Sensors and C3I Technologies for Homeland Security and Homeland Defense, Vol. 5778, 186-195, May 2005.

5. Tatoian, J. Z., G. Franceshetti, H. Lackner, and G. G. Gibbs, "Through-the-wall impulse SAR experiments," IEEE Antennas Propagat. Soc. Int. Symp., Jul. 2005.

6. Ahmad, F., Y. Zhang, and M. G. Amin, "Three-dimensional wideband beamforming for imaging through a single wall," IEEE Trans. Geosci. Remote Sensing Lett., Vol. 5, 176-179, Apr. 2008.

7. Lin, A. and H. Ling, "A Doppler and direction-of-arrival (DDOA) radar for multiple-mover sensing based on a two-element array," IEEE Trans. Aerosp. Electron. Syst., Vol. 43, 1496-1509, Oct. 2007.

8. Ram, S. S. and H. Ling, "Through-wall tracking of human movers using joint Doppler and array processing," IEEE Trans. Geosci. Remote Sensing Lett., Vol. 5, 537-541, Jul. 2008.

9. Johnson, D. and D. Dudgeon, Array Signal Processing, Prentice Hall, 1993.

10. Trees, H. V., Optimum Array Processing, Wiley, 2002.

11. Liao, B., G. S. Liao, and J. Wen, "A method for DOA estimation in the presence of unknown nonuniform noise," Journal of Electromagnetic Waves and Applications, Vol. 22, No. 14-15, 2113-2123, 2008.

12. Zhang, X., X. Gao, and W. Chen, "Improved blind 2D direction of arrival estimation with L-shaped array using shift invariance property," Journal of Electromagnetic Waves and Applications, Vol. 23, 593-606, 2009.

13. Tsao, J. and B. D. Steinberg, "Reduction of sidelobe and speckle artifacts in microwave engineering: The CLEAN technique," IEEE Trans. Antennas Propagation, Vol. 36, 543-556, Apr. 1988.

14. Li, J. and P. Stoica, "Efficient mixed-spectrum estimation with applications to target feature extraction," IEEE Trans. Signal Processing, Vol. 44, 281-295, Feb. 1996.

15. Schmidt, R. O., "Multiple emitter location and signal parameter estimation," IEEE Trans. Antennas Propagation, Vol. 34, 276-280, Mar. 1986.

16. Roy, R., A. Paulraj, and T. Kailath, "ESPRIT --- A subspace rotation approach to estimation of parameters of cisoids in noise," IEEE Trans. Acoust., Speech, Signal Proc., Vol. 34, 1340-1342, Oct. 1986.

17. Lo, T., H. Leung, and J. Litva, "Radial basis function neural network for direction-of-arrivals estimation," IEEE Signal Processing Lett., Vol. 1, 45-47, Feb. 1994.

18. El Zooghby, A. H., C. G. Christodoulou, and M. Georgiopoulos, "A neural network-based smart antenna for multiple source tracking," IEEE Trans. Antennas Propagation, Vol. 48, 768-776, May 2000.

19. Vigneshwaran, S., N. Sundararajan, and P. Saratchandran, "Direction of arrival estimation under array sensor failures using a minimal resource allocation neural network," IEEE Trans. Antennas Propagation, Vol. 55, 334-343, 2007.

20. Sherman, S. M., Monopulse Principles and Techniques, Artech House, 1984.

21. Robinson, J. and Y. Rahmat-Samii, "Particle swarm optimization in electromagnetics," IEEE Trans. Antennas Propagation, Vol. 52, 397-407, Feb. 2004.

22. Bishop, C., Neural Networks for Pattern Recognition, Oxford University Press, 1995.

23. Kim, Y., "Through-wall human monitoring using data-driven models with Doppler information,", Ph.D. Dissertation, The University of Texas at Austin, May 2008.

24. Kim, Y. and H. Ling, "Human activity classification based on microDoppler signatures using a support vector machine," IEEE Trans. Geosci. Remote Sensing, Vol. 47, 1328-1337, May 2009.

25. Bermani, E., A. Boni, A. Kerhet, and A. Massa, "Kernels evaluation of SVM-based estimators for inverse scattering problems," Progress In Electromagnetics Research, Vol. 53, 167-188, 2005.

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