Secondary Surveillance Radar (SSR) based on multilateration principle and omni-directional antennae are operational today [1,2]. We proposed new algorithms to separate a mixture of overlapping SSR replies on a M-elements antenna in previous works [3, 4], other solutions were also proposed in the literature [5, 6, 7]. Unfortunately, all have either some shortcomings, or an expensive computational cost, or no simple practical implementation. Therefore, there is a need for reliable, simple, effective algorithms to separate multiple SSR signals. Real recorded signals in a live environment are used to demonstrate the effectiveness of the proposed techniques.
Galati, G., Petrochilos, N., Piracci, E.g. (2006). Projection techniques for separation of multiple secondary surveillance radar sources in a real environment. In Fourth IEEE Workshop on: Sensor array and multichannel processing, 2006. (pp.344-348). Boston : IEEE [10.1109/SAM.2006.1706151].
Projection techniques for separation of multiple secondary surveillance radar sources in a real environment
GALATI, GASPARE;PIRACCI, EMILIO GIUSEPPE
2006-07-12
Abstract
Secondary Surveillance Radar (SSR) based on multilateration principle and omni-directional antennae are operational today [1,2]. We proposed new algorithms to separate a mixture of overlapping SSR replies on a M-elements antenna in previous works [3, 4], other solutions were also proposed in the literature [5, 6, 7]. Unfortunately, all have either some shortcomings, or an expensive computational cost, or no simple practical implementation. Therefore, there is a need for reliable, simple, effective algorithms to separate multiple SSR signals. Real recorded signals in a live environment are used to demonstrate the effectiveness of the proposed techniques.File | Dimensione | Formato | |
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