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Cognitive radar sequence design under the spectral compatibility requirements
Author(s) -
Ge Peng,
Cui Guolong,
Karbasi Seyyed Muhammad,
Kong Lingjiang,
Yang Jianyu
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.2016.0239
Subject(s) - radar , computer science , compatibility (geochemistry) , cognitive radio , computational complexity theory , quadratic equation , wireless , mathematical optimization , algorithm , electronic engineering , mathematics , telecommunications , engineering , geometry , chemical engineering
As the increasing demands of military detection, wireless communication and remote sensing make the spectrum even more crowded, radar sequence design meeting spectral compatibility requirement is a challenging and urgent problem. This study is devoted to designing optimised phase‐coded sequences which keep spectral‐compatible with the overlaid electromagnetic radiators and at the same time optimise the signal‐to‐interference‐plus‐noise ratio (SINR). First, an intelligent dynamic spectrum information around the radar system is achieved by a radio environmental map. The information is introduced to form a constrained optimisation process aimed at improving the spectral compatibility and the radar detection performance. Second, the unimodularity requirement is necessary to make full use of transmit power and a similarity constraint is enforced to keep desired ambiguity function feature. Third, to resolve the resulting non‐convex optimisation quadratically constrained quadratic problem, a relaxation and a randomisation procedure are applied. Therefore, the technique behaves a polynomial computational complexity. Finally, the performance analysis is given to show its effectiveness in terms of the SINR, the spectral shape, and the resulting auto‐correlation function.

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