UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Fast Fully Adaptive Signalling for Target Matching

Horne, CP; Jones, AM; Smith, GE; Griffiths, HD; (2020) Fast Fully Adaptive Signalling for Target Matching. IEEE Aerospace and Electronic Systems Magazine , 35 (6) pp. 46-62. 10.1109/MAES.2020.2970243. Green open access

[img]
Preview
Text
Fast_Fully_Adaptive_Signalling_for_Target Matching.pdf - Accepted version

Download (3MB) | Preview

Abstract

In this article, we discuss a novel signal processing technique for adaptive radar that permits joint target-matched illumination and interference avoidance in dynamic spectral environments. This approach allows for spectral coexistence between a radar system and a primary user of the radio frequency space. Spectral coexistence is exploited to allow the use of higher bandwidths than would otherwise be available to conventional radar systems. The technique proposed exploits the relative simplicity of the error reduction algorithm, and also provides a novel use of the masking procedure to allow for target-matched illumination. Practical constraints such as constant modulus are considered in the waveform design procedure, while providing an implied signal-to-interference-plus-noise ratio improvement via the error reduction algorithm. Results for full simulation and hardware-in-the-loop experiments are presented and analyzed. We are able to show a signal-to-interference-plus-noise ratio gain of 40 dB is achieved for the target-matched waveform as compared with a linear frequency modulated waveform. However, the signal-to-interference-plus-noise ratio gain comes at a cost of degraded autocorrelation characteristics of the target-matched illumination waveform, despite only modest levels of primary user spectrum occupancy. Spectral notch depths achieved by the modified error reduction algorithm are approximately 25 dB.

Type: Article
Title: Fast Fully Adaptive Signalling for Target Matching
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/MAES.2020.2970243
Publisher version: https://doi.org/10.1109/MAES.2020.2970243
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Radar tracking, Interference, Bandwidth, Signal to noise ratio, Radio frequency, Sensors, Picture archiving and communication systems
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10110637
Downloads since deposit
20Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item