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Sensor-array data processing for multiple-signal sources

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1 Author(s)

Techniques are considered for processing the outputs of a sensor array that is observing J distinct signal sources. Three types of wideband signals are discussed: unknown, stochastic, and parameterized. Narrowband signals are a special case. Four types of random errors are discussed: additive sensor noise, sensor gain errors, sensor time-delay errors, and "beam-pointing' errors. It is concluded that the so-called decoupled-beam data processor is a very promising technique, which can be implemented by passing the output of J individual "beams" through a J -input, J -output linear system. When sensor gain-delay and beam-pointing errors are not present, the decoupled-beam data processor provides "infinite sidelobe rejection."

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IEEE Transactions on Information Theory  (Volume:14 ,  Issue: 2 )