A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf
.
Robust estimation of the number of coherent radar signal sources using deep learning
2021
IET radar, sonar & navigation
A deep-learning-based approach to estimating the number of coherent sources in radar is presented. A proper estimate of the number of sources in a signal enables improved angle-of-arrival (AoA) estimation common in applications such as radar, sonar, and communication systems. Many AoA estimators utilised in these areas require accurate estimates of the number of sources for enhanced performance. Herein, a robust method that performs well under the existence of coherent sources is developed. The
doi:10.1049/rsn2.12047
fatcat:uc2hz7rxorbuzidgodh62pbsba