Open AccessFully adaptive waveform parameter design for cognitive tracking radars
Author(s) -
Ghadian Mohammad,
Fatemi Mofrad Reza,
Abbasi Arand Bijan
Publication year - 2020
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.2020.0109
Subject(s) - waveform , radar , pulse repetition frequency , computer science , radar tracker , low probability of intercept radar , tracking (education) , tracking error , electronic engineering , pulse doppler radar , real time computing , engineering , artificial intelligence , telecommunications , radar imaging , psychology , pedagogy , control (management)
Cognitive radars have the capability of using the prior environmental information to improve the radar performance. In this study, a cost function for fully adaptive waveform parameters design for cognitive tracking radars is proposed. These parameters include – but not limited to – pulse length, pulse repetition frequency, number of transmitted pulses, and target revisit rate. Thus, the proposed cost function is capable of reducing the tracking error, using adaptive waveform parameters, along the time resource management, with adaptive coherent processing interval and target revisit time. The purpose of the proposed cost function is balancing the different radar measurement errors (which depend on radar transmitted waveform in contrary directions), with respect to the target manoeuvre scenario, to reach the radar tolerable tracking error. Simulation results show that using the proposed waveform parameter design cost function, tracking error is reduced, and an optimised radar time resource usage is obtained.