Target range estimation with cooperating airborne passive sensors
Target range estimation with cooperating airborne passive sensors
- Author(s): T.R. Kronhamn
- DOI: 10.1049/cp:19971686
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- Author(s): T.R. Kronhamn Source: Radar Systems (RADAR 97), 1997 p. 314 – 317
- Conference: Radar Systems (RADAR 97)
- DOI: 10.1049/cp:19971686
- ISBN: 0 85296 698 9
- Location: Edinburgh, UK
- Conference date: 14-16 Oct. 1997
- Format: PDF
Range estimation with two airborne, cooperating passive sensors is shown. The estimation algorithm is a multi-hypothesis Kalman filter in Cartesian coordinates. It is shown how this concept handles situations where there is no baseline for triangulation and no line-of-sight rate. The algorithm sets no requirements on the individual sensor measurement rate and neither on measurement synchronization. The Cartesian coordinate frame gives a target model that is independent of the source of the measurements. The multiple model approach reduces the nonlinearities and decreases the numerical problems in the covariance calculations.
Inspec keywords: array signal processing; direction-of-arrival estimation; Kalman filters; covariance analysis; filtering theory; sensors
Subjects: Signal processing and detection
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