Array processing

Array processing is signal processing of the outputs of an array of sensors to:

• Enhance the signal-to-interference-plus-noise ratio (SINR) compared to that of a single sensor using conventional or adaptive beamforming.
• Determine the number of emitting sources, the locations of these sources, their waveforms, and other signal parameters.
• Track multiple moving sources.

Array processing is used in radar, sonar, seismic exploration, anti-jamming and wireless communications. One of the main advantages of using array processing along with an array of sensors is a smaller foot-print. The problems associated with array processing include the number of sources used, their direction-of-arrivals, and their signal waveforms.^[1]

See also

• Phased Array
• Space Time Adaptive Processing

References

• Johnson, D. H.; Dudgeon, D. E. (1993). Array Signal Processing. Prentice Hall.
• Van Trees, H. L. (2002). Optimum Array Processing. New York: Wiley.
• Krim, H.; Viberg, M. (1996). "Two Decades of Array Signal Processing Research" (PDF). IEEE Signal Processing Magazine: 67–94. Retrieved 8 December 2010. {{cite journal}}: Unknown parameter |month= ignored (help)
• S. Haykin and K.J.R. Liu (Editors), "Handbook on Array Processing and Sensor Networks", Adaptive and Learning Systems for Signal Processing, Communications, and Control Series, 2010.
• E. Tuncer and B. Friedlander (Editors), "Classical and Modern Direction-of-Arrival Estimation", Academic Press, 2010.
• A.B. Gershman, array processing courseware

1. Torlak, M. Spatial Array Processing. Signal and Image Processing Seminar. University of Texas at Austin.