{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "4bcd49a4",
"metadata": {
"nbsphinx": "hidden"
},
"outputs": [],
"source": [
"# Install HermesPy and its dependencies in the current kernel\n",
"# When running on Colabs, a restart of the runtime is required afterwards\n",
"\n",
"import sys\n",
"!{sys.executable} -m pip install --quiet hermespy"
]
},
{
"attachments": {},
"cell_type": "markdown",
"id": "199efcaa",
"metadata": {},
"source": [
"Implementing Beamformers\n",
"=========================\n",
"\n",
"This Jupyter notebook will outline the step-by-step process of implementing a new receiving beamformer within the HermesPy framework, using the Minimum Variance Distortionless Response (MVDR, also known as Capon) beamformer as a working example.\n",
"\n",
"As an initial step we will import all required modules:"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "731daaf7",
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"\n",
"from hermespy.beamforming import ReceiveBeamformer"
]
},
{
"attachments": {},
"cell_type": "markdown",
"id": "32929b07",
"metadata": {},
"source": [
"The Capon beamformer estimates the power $\\hat{P}$ received from a direction $(\\theta, \\phi)$, where $\\theta$ is the zenith and $\\phi$ is the azimuth angle of interest in spherical coordinates, respectively. \n",
"Let $Y \\in \\mathbb{C}^{M \\times N}$ be the the matrix of $N$ time-discrete samples acquired by an antenna arrary featuring $M$ antennas and\n",
"\n",
"\\begin{equation}\n",
"\\mathbf{R} = \\mathbf{Y}\\mathbf{Y}^{\\mathsf{H}}\n",
"\\end{equation}\n",
"\n",
"be the respective sample correlation matrix.\n",
"The antenna array's response towards a source within its far field emitting a signal of small relative bandwidth is $\\mathbf{a}(\\theta, \\phi) \\in \\mathbb{C}^{M}$.\n",
"Then, the Capon's spatial power response is defined as \n",
"\n",
"\\begin{equation}\n",
"\\hat{P}_{\\mathrm{Capon}}(\\theta, \\phi) = \\frac{1}{\\mathbf{a}^{\\mathsf{H}}(\\theta, \\phi) \\mathbf{R}^{-1} \\mathbf{a}(\\theta, \\phi)}\n",
"\\end{equation}\n",
"\n",
"with\n",
"\n",
"\\begin{equation}\n",
"\\mathbf{w}(\\theta, \\phi) = \\frac{\\mathbf{R}^{-1} \\mathbf{a}(\\theta, \\phi)}{\\mathbf{a}^{\\mathsf{H}}(\\theta, \\phi) \\mathbf{R}^{-1} \\mathbf{a}(\\theta, \\phi)} \\in \\mathbb{C}^{M}\n",
"\\end{equation}\n",
"\n",
"being the beamforming weights to steer the sensor array's receive characteristics towards direction $(\\theta, \\phi)$, so that\n",
"\n",
"\\begin{equation}\n",
"\\tilde{\\mathbf{y}}(\\theta, \\phi) = \\mathbf{w}^\\mathsf{H}(\\theta, \\phi) \\mathbf{Y}\n",
"\\end{equation}\n",
"\n",
"are the estimated signal samples impinging onto the sensor array from said direction.\n",
"\n",
"The structure of receiving beamformers is implemented as an abstract prototype in the [ReceiveBeamformer](../api/beamforming.beamformer.rst#hermespy.beamforming.beamformer.ReceiveBeamformer).\n",
"Prototypes specify several [abstract](https://docs.python.org/3/library/abc.html#abc.abstractmethod) properties and methods which inheriting classes must implement. For receiving beamformers those are\n",
"\n",
"* [num_receive_input_streams](../api/beamforming.beamformer.rst#hermespy.beamforming.beamformer.ReceiveBeamformer.num_receive_input_streams) - *Number of antenna streams the beamformer can process.* Our Capon implementation will always require the samples of all device antennas.\n",
"\n",
"* [num_receive_output_streams](../api/beamforming.beamformer.rst#hermespy.beamforming.beamformer.ReceiveBeamformer.num_receive_output_streams) - *Number of antenna streams the beamformer generates after processing.* Since the Capon beamformer focuses the power towards a single direction of interest per estimation, a single stream of samples will be generated after beamforming.\n",
"\n",
"* [num_receive_focus_angles](../api/beamforming.beamformer.rst#hermespy.beamforming.beamformer.ReceiveBeamformer.num_receive_focus_angles) - *Number of angles of interest the beamformer requires for its configuration.* The same logic as before applies, only a single direction of interest per beamforming operation is required.\n",
"\n",
"* [\\_decode()](../api/beamforming.beamformer.rst#hermespy.beamforming.beamformer.ReceiveBeamformer._decode) - *This subroutine performs the actual beamforming, given an array of baseband samples, assumed carrier frequency and the angles of interest.* \n",
"This is where the Capon algorithm is being implemented."
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "bebfb7b5",
"metadata": {},
"outputs": [],
"source": [
"class CaponBeamformer(ReceiveBeamformer):\n",
" \n",
" def __init__(self, *args, **kwargs) -> None:\n",
" \n",
" ReceiveBeamformer.__init__(self, *args, **kwargs)\n",
"\n",
" @property\n",
" def num_receive_input_streams(self) -> int:\n",
" return self.operator.device.antennas.num_receive_antennas\n",
" \n",
" @property\n",
" def num_receive_output_streams(self) -> int:\n",
" return 1\n",
" \n",
" @property\n",
" def num_receive_focus_angles(self) -> int:\n",
" return 1\n",
" \n",
" def _decode(self,\n",
" samples: np.ndarray,\n",
" carrier_frequency: float,\n",
" angles: np.ndarray) -> np.ndarray:\n",
" \n",
" # Compute the inverse sample covariance matrix R\n",
" sample_covariance = np.linalg.inv(samples @ samples.T.conj() + np.eye(samples.shape[0]))\n",
"\n",
" # Query the sensor array response vectors for the angles of interest and create a dictionary from it\n",
" dictionary = np.empty((self.num_receive_input_streams, angles.shape[0]), dtype=complex)\n",
" for d, focus in enumerate(angles):\n",
" array_response = self.operator.device.antennas.spherical_phase_response(carrier_frequency, focus[0, 0], focus[0, 1])\n",
" dictionary[:, d] = sample_covariance @ array_response / (array_response.T.conj() @ sample_covariance @ array_response)\n",
"\n",
" beamformed_samples = dictionary.T.conj() @ samples\n",
" return beamformed_samples[:, np.newaxis, :]"
]
},
{
"attachments": {},
"cell_type": "markdown",
"id": "7c6f60ca",
"metadata": {},
"source": [
"And that's it, by specifying three properties and the decode routine a new beamformer has been implemented within HermesPy.\n",
"We can now plot the beamforming characteristics towards a signal impinging from $(\\theta = 0, \\phi = 0)$ by calling [PlotReceivePattern()](../api/beamforming.beamformer.rst#hermespy.beamforming.beamformer.ReceiveBeamformer.PlotReceivePattern) and compare it to the [CoventionalBeamformer](../api/beamforming.conventional.rst#hermespy.beamforming.conventional.ConventionalBeamformer):"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "943cf8ad",
"metadata": {},
"outputs": [
{
"data": {
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",
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