Subspace approach to performance modelling of range‐sidelobe suppressed waveforms | Zendy

Jones Aaron M. | Zendy; Rigling Brian D. | Zendy; Rangaswamy Muralidhar | Zendy

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Subspace approach to performance modelling of range‐sidelobe suppressed waveforms

Author(s) -

Jones Aaron M.,

Rigling Brian D.,

Rangaswamy Muralidhar

Publication year - 2017

Publication title -

iet radar, sonar and navigation

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.489

H-Index - 82

eISSN - 1751-8792

pISSN - 1751-8784

DOI - 10.1049/iet-rsn.2016.0283

Subject(s) - waveform , subspace topology , constraint (computer aided design) , range (aeronautics) , noise (video) , interference (communication) , computer science , radar , signal to noise ratio (imaging) , signal to interference plus noise ratio , algorithm , mathematics , telecommunications , engineering , artificial intelligence , physics , aerospace engineering , channel (broadcasting) , power (physics) , geometry , quantum mechanics , image (mathematics)

An important concern in radar is understanding the consequence of waveform design constraints on the signal‐to‐interference‐plus‐noise ratio (SINR) performance. In this study, the authors develop performance models for the attendant drop in SINR as an integrated sidelobe (ISL) constraint is placed on the waveform. The performance models are developed using an eigenbasis subspace approach. The authors validate the performance models against measured data and conclude that the proposed approach provides reasonable performance modelling of the SINR as a function of the ISL constraint.

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