Saab has been granted a patent for a gradient structure designed to transmit and reflect electromagnetic signals efficiently. The structure consists of interconnected cells with walls of varying thickness. This innovation aims to optimize signal transmittance and reflectance. GlobalData’s report on Saab gives a 360-degree view of the company including its patenting strategy. Buy the report here.

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According to GlobalData’s company profile on Saab, Lidar scanners was a key innovation area identified from patents. Saab's grant share as of January 2024 was 65%. Grant share is based on the ratio of number of grants to total number of patents.

Gradient structure for transmitting and reflecting electromagnetic signals

Source: United States Patent and Trademark Office (USPTO). Credit: Saab AB

A recently granted patent (Publication Number: US11870147B2) discloses a gradient structure designed for transmitting and reflecting electromagnetic signals. The structure consists of interconnected cells, each with a through cavity surrounded by walls of varying thickness along the longitudinal direction. These cells can be built up of multiple layers with varying densities, allowing the structure to operate within a predetermined bandwidth range. Additionally, the structure can be configured with additional layers such as conductive layers or frequency selective surfaces to enhance its transmission, reflection, filtering, or absorption capabilities.

Furthermore, the patent includes a cover structure incorporating the gradient structure, along with skins attached to optimize signal reflections. A system comprising a transmitter/receiver and the cover structure, as well as a structure element integrating the system, are also part of the patent claims. A method for optimizing the transmittance and reflectance of the electromagnetic signal using the gradient structure involves selecting bandwidth ranges, incident angles, thickness, and cell diameters, among other parameters. The method includes steps for optimizing permittivity values, selecting wall thickness, and potentially utilizing additional layers, with manufacturing options like 3D printing also considered in the process.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.