Texas Instruments xWR1843

Note

These presets are currently under active development and may still contain inaccuracies.

Implementation of a block-based radio-frequency front-end model following the datasheet of Texas Instruments’ AWR1843 and IWR1843 radar SoCs. It can be used within a simulation-context by assigning it as a simulated device’s rf chain model and as a monostatic radar DSP’s waveform description:

# Initialize a simulation scenario with a single device
scenario = SimulationScenario()
device = scenario.new_device(
    carrier_frequency=carrier_frequency,
    bandwidth=3e9,
    oversampling_factor=2
)

# Configure the device with the XWR1843 RF chain preset
rf = TIXWR1843()
device.rf = rf

# Configure the device antennas as a 3x4 patch antenna array
device.antennas = SimulatedCustomArray()
for _ in range(3):
    device.antennas.add_antenna(SimulatedPatchAntenna(AntennaMode.TX))
for _ in range(4):
    device.antennas.add_antenna(SimulatedPatchAntenna(AntennaMode.RX))

# Configure a radar DSP algorithm
device.add_dsp(Radar(
    waveform=rf,
    receive_beamformer=ConventionalBeamformer(),
))

class TIXWR1843(carrier_frequency=77500000000.0, num_chirps=16, chirp_bandwidth=3000000000.0, chirp_slope=100000000000000.0, chirp_interval=3e-05, hpf_cutoff=175000.0, seed=None)

Bases: RadarWaveform, RFChain

Model of the Texas Instruments AWR1843 / IWR1843 radar SoC.

Parameters:

• carrier_frequency (float) – Center frequency of the generated signal in Hz.

• num_chirps (int) – Number of chirps in the FMCW ramp.

• chirp_bandwidth (float) – Bandwidth of the chirp in Hz.

• chirp_slope (float) – Chirp slope in Hz/s.

• chirp_interval (float) – Time between two consecutive chirps in seconds.

• hpf_cutoff (float) – Cutoff frequency of the high-pass filter applied to the received signal in Hz.

• seed (int | None) – Seed with which to initialize the random state of the model.

energy(bandwidth, oversampling_factor)

Energy of the radar waveform.

Parameters:

• bandwidth (float) – Bandwidth of the radar waveform in Hz.

• oversampling_factor (int) – Oversampling factor of the radar waveform.

Return type:

float

Radar energy in \(\mathrm{Wh}\).

estimate(signal, state)

Generate a range-doppler map from a single-stream radar frame.

Parameters:

• signal (Signal) – Single-stream signal model of a single propagated radar frame.

• state (ReceiveState) – State of the device the radar is assigned to.

Return type:

ndarray

Returns:

Numpy matrix (2D array) of the range-doppler map, where the first dimension indicates discrete doppler frequency bins and the second dimension indicates discrete range bins.

frame_duration(bandwidth)

Duration of a single radar frame in seconds.

Parameters:

bandwidth (float) – Bandwidth of the radar waveform in Hz.

Return type:

float

Denoted by \(T_{\mathrm{F}}\) of unit \(\left[ T_{\mathrm{F}} \right] = \mathrm{s}\) in literature.

max_range(bandwidth)

The waveform’s maximum detectable range in meters.

Parameters:

bandwidth (float) – Bandwidth of the radar waveform in Hz.

Return type:

float

Denoted by \(R_{\mathrm{Max}}\) of unit \(\left[ R_{\mathrm{Max}} \right] = \mathrm{m}\) in literature.

ping(state)

Generate a single radar frame.

Parameters:

state (TransmitState) – State of the device the radar is assigned to.

Return type:

DenseSignal

Returns:

Single-stream signal model of a single radar frame.

range_bins(bandwidth)

Discrete sample bins of the radial range sensing.

Parameters:

bandwidth (float) – Bandwidth of the radar waveform in Hz.

Return type:

ndarray

Returns:

A numpy vector (1D array) of discrete range bins in meters.

range_resolution(bandwidth)

Resolution of the radial range sensing in meters.

Parameters:

bandwidth (float) – Bandwidth of the radar waveform in Hz.

Return type:

float

Denoted by \(\Delta R\) of unit \(\left[ \Delta R \right] = \mathrm{m}\) in literature.

property max_relative_doppler: float

Maximum relative detectable radial doppler frequency shift in Hz.

\[\Delta f_\mathrm{Max} = \frac{v_\mathrm{Max}}{\lambda}\]

property power: float

Power of the radar waveform.

Radar power in \(\mathrm{W}\).

property ramp: RampGenerator

FMCW ramp generator block model.

property relative_doppler_bins: ndarray

Realtive discrete sample bins of the radial doppler frequency shift sensing.

A numpy vector (1D array) of discrete doppler frequency bins in Hz.

property relative_doppler_resolution: float

Relative resolution of the radial doppler frequency shift sensing in Hz.

\[\Delta f_\mathrm{Res} = \frac{v_\mathrm{Res}}{\lambda}\]