Metadata-Version: 2.1
Name: konradtechnologies-rtms-python
Version: 0.1.0
Summary: A communication library for interfacing with the KT-RTMS software.
Home-page: https://github.com/konradtechnologies/rtms-python
Author: Konrad Technologies
Author-email: info@konrad-technologies.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE

# rtms-python
Python communication library for the KT-RTMS software.  You must have the KT-RTMS installed on a system with the 
Remote Control plug-in activated.  Please contact Konrad Technologies for assistance.

## Installing rtms-python
rtms-python can be installed using pip:

`pip install konradtechnologies-rtms-python`

## Examples
Example Python scripts can be found in the examples/ folder.

## Using rtms-python
The rtms-python package provides an overall class for communication to KT-RTMS, `RtmsClient`

    # Instantiate the RTMS client object (does not connect yet)
    rtms_client = RtmsClient(ip_address)

    # Connect to the instrument
    rtms_client.connect()
    ...
    # Perform functions
    ...
    # Disconnect from the instrument
    rtms_client.disconnect()

### Static Radar Targets
Static radar targets can be defined using the `RadarTarget` class and sent to the instrument.

    # Create two radar targets
    target_list = [RadarTarget(distance=35, rcs=15, velocity=0, azimuth=0, elevation=0),
                   RadarTarget(distance=100, rcs=30, velocity=0, azimuth=0, elevation=0)]

    # Send the targets to RTMS
    rtms_client.set_radar_targets(target_list)

### Dynamic Radar Targets
Dynamic radar targets can be defined using the `DynamicRadarTarget` class and executed by the Python script.
In this configuration, Python sends a new set of targets to the instrument every 100 msec.  This can achieve psuedo-
dynamic linear targets.

    # Create two dynamic targets
    # The first target will move out from 20 m to 80 m at 10 m/sec, then back to 40 m at 20 m/sec.
    moving_target_1 = [DynamicRadarTarget(start_x=0, start_y=20, end_x=0, end_y=80, rcs=30, velocity=10),
                       DynamicRadarTarget(start_x=0, start_y=80, end_x=0, end_y=40, rcs=30, velocity=20)]

    # The second target will move from 100 m to 120 m at 5 m/sec.
    moving_target_2 = [DynamicRadarTarget(start_x=0, start_y=100, end_x=0, end_y=120, rcs=30, velocity=5)]

    # Send the targets to RTMS
    rtms_client.set_dynamic_range_targets([moving_target_1, moving_target_2])

Note that since this script is executed by Python (and not by the KT-RTMS software), it may expirience
jitter and latency, especially if other applications are running simultaneously.

### Taking RF Measurements
If the KT-RTMS RF Measurements plug-in is activated on the system, one can take RF measurements.  This is typically
done in three steps: measurement configuration, initiating the measurement, and fetching results.

To configure the instrument for an RF measurement, there are typically a few parameters one should set:
* Measurement duration
* RF trigger parametesr
* Specific measurement parameters
* Enabling which specific measurements to take

As an example, this code sets the instrument up for a 1 msec acquisiton, measuring EIRP, occupied bandwidth, linearity,
and phase noise of the signal:

    # Set an acquisition time of 1 msec
    rtms_client.set_measurement_duration(1E-3)

    # Set up a rising edge trigger at 20 dBm
    rtms_client.configure_trigger(enabled=True, level=20, edge=RtmsTriggerEdge.RISING)

    # Configure the OBW and phase noise measurements
    rtms_client.configure_measurement_obw_percent(percent=99)
    rtms_client.configure_measurement_phasenoise(offset_frequencies=[10E3, 100E3, 1E6, 10E6])

    # Set all measurements active
    rtms_client.set_active_measurements(eirp=True, obw=True, linearity=True, phasenoise=True)

Then, once all the measurement configuration has been defined, one can initiate the measurement:

    # Initiate the measurement and block until complete and results are ready
    rtms_client.initiate_measurement(wait_until_complete=True)

Finally, the measurement results can be fetched.  Each measurement result is returned as a dictionary of measurements.

    # Fetch results
    eirp_results = rtms_client.get_measurement_results_eirp()
    print(eirp_results)

    obw_results = rtms_client.get_measurement_results_obw()
    print(obw_results)


