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.
There are four assumptions in array processing. The first assumption is that there is uniform propagation in all directions of isotropic and nondispersive medium. The second assumption is that for far field array processing, the radius of propagation is much greater than size of the array and that there is plane wave propagation. The third assumption is that there is a zero mean white noise and signal, which shows uncorrelation. Finally, the last assumption is that there is no coupling and the calibration is perfect.
Read more about Array Processing: Applications
Famous quotes containing the word array:
“Any one who knows what the worth of family affection is among the lower classes, and who has seen the array of little portraits stuck over a labourer’s fireplace ... will perhaps feel with me that in counteracting the tendencies, social and industrial, which every day are sapping the healthier family affections, the sixpenny photograph is doing more for the poor than all the philanthropists in the world.”
—Macmillan’s Magazine (London, September 1871)