WORK Microwave
Overview
WORK Microwave, established in 1986, originally focused on research projects and product design for other industry members. At the time their speciality was creating clean clock sources including components such as oscillators, synthesizers, and IF/RF frequency converter modules. Since that time they have greatly expanded their project range and currently have four operating divisions: Satellite Technologies, Defence Electronics, Sensors and Measurement, and Navigation Simulators. [1] WORK Microwave’s headquarters is currently located in Holzkirchen, Germany. [1]
AX-60-S02190 CCSDS TM/TC Modem
WORK Microwave plans on demonstrating their end-to-end cubesat solution at Space Tech Expo Europe 2021 in Bremen, Germany. The AX-60 IP modem is designed to connect seamlessly with an XLink Transceiver from IQ Spacecom. This allows operators to reliably perform telecommand and telemetry transmission tasks to and from satellites. This solution supports SATCOM for both the ground and space segments, as well as featuring space communication waveforms according to CCSDS Recommended Standards. The modem itself features a CCSDS 131.0-B-3 compliant downlink, CCSDS 231.0-B-3 compliant uplink, symbol rates of 10 ksps up to 75 Msps, and IQ diagram output, with a proven and flexible A-Series SDR architecture.
The solution also contains an optical ground station receiver and detector. The FSOD1 is a fiber-coupled optical detector for the reception of optical free space communication. The detector features a highly responsive InGaAs avalanche photodiode (APD) with fiber coupled input. The detector includes both a front-panel user interface and network access via SNMP and HTTP interface, assuring easy integration into satellite ground station infrastructures.
The AR-80-OPT receiver supports the processing of optical direct-to-Earth links. Optical On-Off-Keying (O3K) and High-Photon-Efficiency (HPE) transmissions can be processed via a common input that operates either based on hard-decision decoding or the processing of logarithmic-likelihood-ratios (LLR). [3]