Separation of multiple secondary surveillance radar sources in a real environment by a novel projection algorithm
Nicolas Petrochilos, Gaspare Galati, L. Mene, E. Piracci
Abstract
Nicolas Petrochilos, Gaspare Galati, L. Mene, E. Piracci
Abstract
Multilateration systems based on secondary surveillance radar (SSR) and omni-directional antennae are operational today (P. Bezousek, 1998) with expected capacity limitations due to the increase of the air traffic. Assuming the replacement of the omni-directional antenna by an array, we proposed new algorithms in previous works (N. Petrochilos, July 2002), (N. Petrochilos, et al., May 2004). Unfortunately, they have some shortcomings, an expensive computational cost, and a not-so simple practical implementation. Therefore, there is a need for reliable, simple, effective algorithms such as the one we present here to separate multiple SSR signals. Real signals (as recorded in a live environment) are used to demonstrate the effectiveness of the proposed algorithm
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Multilateration systems based on secondary surveillance radar (SSR) and omni-directional antennae are operational today (P. Bezousek, 1998) with expected capacity limitations due to the increase of the air traffic. Assuming the replacement of the omni-directional antenna by an array, we proposed new algorithms in previous works (N. Petrochilos, July 2002), (N. Petrochilos, et al., May 2004). Unfortunately, they have some shortcomings, an expensive computational cost, and a not-so simple practical implementation. Therefore, there is a need for reliable, simple, effective algorithms such as the one we present here to separate multiple SSR signals. Real signals (as recorded in a live environment) are used to demonstrate the effectiveness of the proposed algorithm
Key concepts: Computer science, Radar, Multilateration, Secondary surveillance radar, Simple (philosophy), Algorithm, Passive radar, Real-time computing