import numpy as np
from scipy import signal, fft, linalg
from typing import Tuple, List


class AntiJammingSignalAlgo:
    @staticmethod
    def time_frequency_filter(rx_signal, sample_rate):
        """时频域联合滤波算法"""
        # 实现频域滤波与时域平滑的组合处理
        spectrum = np.fft.fft(signal)
        filtered_spectrum = spectrum * np.hamming(len(spectrum))
        return np.fft.ifft(filtered_spectrum).real

    @staticmethod
    def adaptive_filter(rx_signal, reference_signal):
        """自适应滤波算法"""
        # 实现基于LMS的自适应滤波
        lms_step = 0.01
        weights = np.zeros(10)
        for i in range(len(rx_signal)-10):
            x = rx_signal[i:i+10]
            error = reference_signal[i] - np.dot(weights, x)
            weights += lms_step * error * x
        return np.convolve(weights, rx_signal, mode='valid')

    @staticmethod
    def polarization_filter(signal, polarization_params):
        """极化滤波算法"""
        # 实现极化域滤波处理
        covariance = np.cov(signal.reshape(2, -1))
        eig_vals, eig_vecs = np.linalg.eig(covariance)
        return eig_vecs[:, np.argmax(eig_vals)] @ signal.reshape(2, -1)