Abstract. This paper proposes an approach to data integration at the pixel level using a weighted sum method, which enables the application of weights to different channels or pixels. This adaptability allows the method to be tailored to specific tasks and conditions. For instance, signals from more reliable data sources can be amplified, while noise components can be suppressed. Unlike more complex algorithms such as the Kalman filter or machine learning techniques, this method offers relatively low computational complexity. This makes it suitable for processing large volumes of data in real time or under constraints of limited computing resources.

Keywords: integration, weighted sum, weighting coefficients, probing frequency

For citation: Zakharov S. A., Masyagina D. A., Konoplev Yu. V., Sotnikova N. V. Pixel integration using weighted sum in active radar systems. Aerospace Engineering and Technology. 2024. Vol. 2, no. 4, pp. 130–137. DOI 10.52467/2949-401X-2024-2-4-130-137. EDN QXOSNC (In Russian)