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![]() by Staff Writers Las Vegas NV (SPX) Sep 29, 2022
Taoglas, a leading provider of advanced components for a smarter world, launches their first in a new series of high precision, multi-band GNSS front ends for autonomous vehicles, precision agriculture, automotive, unmanned aerial vehicles (UAV) and robotics at Mobile World Congress (MWC 2022). The new TFM.110A comes fully integrated with two cascaded low noise amplifiers (LNA) and pre-filters in a small, low-profile, shielded surface mount package. When used between the device's GNSS receiver and antenna, the two-stage amplifier solution saves designers months to years of engineering hours by eliminating the need for complex and challenging onboard filter and amplifier circuits. Designed for performance, robustness, and ease of use, the new TFM series enables seamless signal transmission, signal purity and position accuracy, and safety and collision prevention in IoT and high precision applications. Investments in geolocation, telematics and positioning services have made GNSS receivers commercially available, presenting more options to integrate satellite connectivity into product designs. However, customization is required to properly set the performance across the entire signal chain; external RF circuitry is needed to deliver sufficient gain to the receiver without compromising the noise figure of the system. Having access to receiver-optimized RF solutions with high gain and low noise figure would help designers mitigate integration challenges and technical roadblocks that add design cycles. "Taoglas delivers practical antenna and RF solutions that simplify wireless product development and accelerate launches," said Olivier Robin, COO at Taoglas. "Our new TFM series is a great example of how we convert multi-year learning cycles into products that help customers save time, save space, and improve performance."
Multi-band GNSS Front Ends Supporting L1, L2, and L5 bands, the two-stage amplifier solution drives high gain, low power consumption and low noise figure across the full signal chain for signal accuracy, integrity, and continuity.
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