DocumentCode
910199
Title
Sensor-array data processing for multiple-signal sources
Author
Schweppe, Fred C.
Volume
14
Issue
2
fYear
1968
fDate
3/1/1968 12:00:00 AM
Firstpage
294
Lastpage
305
Abstract
Techniques are considered for processing the outputs of a sensor array that is observing
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
individual "beams" through a
-input,
-output linear system. When sensor gain-delay and beam-pointing errors are not present, the decoupled-beam data processor provides "infinite sidelobe rejection."
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
individual "beams" through a
-input,
-output linear system. When sensor gain-delay and beam-pointing errors are not present, the decoupled-beam data processor provides "infinite sidelobe rejection."Keywords
Signal processing arrays; Additive white noise; Data processing; Phased arrays; Sensor arrays; Sensor systems; Signal processing; Space technology; Stochastic resonance; White noise; Wideband;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.1968.1054121
Filename
1054121
Link To Document