KAM/TCG/102 Combined GPS and IRIG input
The KAM/TCG/102 can accept time from an IRIG-B time source, from its onboard GPS receiver (external antenna required), or from an external GPS receiver outputting NMEA messages and a one-PPS signal. The received time is written to an internal timer and to a real-time clock that maintains time during power-down (when an external battery is connected). The time can be used for synchronization of a distributed Acra KAM-500 data acquisition system.
The module generates IRIG-B outputs to allow external devices to synchronize with the Acra KAM-500. The module comprises a GPS reader and an IRIG reader which decode incoming signals. The IRIG reader extracts Control Functions (CF) and Straight Binary Seconds (SBS) as well as time. The GPS reader parses NMEA messages as they are generated by the GPS receiver. Extracted navigation data such as position, altitude, velocity, and heading are available as individual parameters. Key NMEA messages are buffered, and can be sourced from this module. The timer block is a 4 x 16-bit Binary Coded Decimal (BCD) counter with microsecond resolution. For example, at 1µs before midnight on January 1, the timer reads 0001 23:59 59.99 9999.
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- Synchronizes with IRIG-B or GPS
- Interfaces with onboard L1 GPS receiver or to an external National Marine Electronics Association (NMEA) stream
- Accepts and generates analog and digital IRIG-B
- 1 µs time resolution
- Outputs one Pulse Per Second (PPS) or ten-PPS pulses
- Less than three parts per million drift when acting as a generator
- Time is maintained by an external battery during power-down
- GPS navigation information available
- Secondary time source input
- System synchronization
- Parameter time tagging
- Global positioning
The NET/SWI/101 is a Gigabit Ethernet switch designed for operating in harsh environments. Each port on the NET/SWI/101 is full-duplex only and can be set for 10BASE-T, 100BASE-TX, 1000BASE-T link...
Setting up data acquisition systems can take a lot of time and effort, particularly as many systems today are growing larger and larger. Managing thousands of channels of data over dozens of data...
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