| """ |
| Configuration dataclass for DOA estimation parameters. |
| |
| This module provides a minimal configuration class for HDC-based DOA estimation, |
| containing only the essential parameters needed for the system model. |
| """ |
|
|
| from dataclasses import dataclass |
|
|
|
|
| @dataclass |
| class DOAConfig: |
| """Configuration for DOA estimation system. |
| |
| Attributes: |
| N: Number of sensors (antennas) in the uniform linear array |
| M: Number of signal sources to estimate |
| T: Number of time snapshots per observation |
| snr: Signal-to-noise ratio in dB |
| signal_nature: Type of signal correlation ("non-coherent" or "coherent") |
| |
| Example: |
| >>> config = DOAConfig(N=8, M=3, T=100, snr=-5) |
| >>> print(f"Array has {config.N} sensors") |
| Array has 8 sensors |
| """ |
|
|
| N: int = 8 |
| M: int = 3 |
| T: int = 100 |
| snr: float = -5.0 |
| signal_nature: str = "non-coherent" |
|
|
| def set_parameter(self, name: str, value): |
| """Set parameter value (for compatibility with SubspaceNet). |
| |
| Args: |
| name: Parameter name |
| value: Parameter value |
| |
| Returns: |
| self for method chaining |
| """ |
| setattr(self, name, value) |
| return self |
|
|
