比幅测向算法源代码
时间: 2023-07-10 18:04:51 浏览: 68
比幅测向算法的源代码如下:
```python
import numpy as np
def MUSIC(cov_mat, n_sources):
"""
Implementation of the MUSIC algorithm for direction-of-arrival (DOA) estimation.
:param cov_mat: covariance matrix of the received signal at the antenna array
:param n_sources: number of sources to be estimated
:return: estimated DOAs (in degrees)
"""
# Compute eigenvectors and eigenvalues of covariance matrix
eig_vals, eig_vecs = np.linalg.eig(cov_mat)
# Sort eigenvectors based on their eigenvalues in descending order
sort_indices = np.argsort(eig_vals)[::-1]
eig_vals = eig_vals[sort_indices]
eig_vecs = eig_vecs[:,sort_indices]
# Compute noise subspace
noise_subspace = eig_vecs[:,n_sources:]
# Compute spatial spectrum
angles = np.arange(-90, 90, 0.5)
spatial_spectrum = np.zeros_like(angles)
for i in range(len(angles)):
angle = angles[i]
a = np.exp(-1j * 2 * np.pi * np.arange(cov_mat.shape[0]) * np.sin(np.deg2rad(angle)))
spatial_spectrum[i] = 1 / np.linalg.norm(np.dot(a.conj().T, noise_subspace), axis=1)**2
# Find peaks in spatial spectrum
doa_estimates = []
for i in range(n_sources):
peak_index = np.argmax(spatial_spectrum)
doa_estimates.append(angles[peak_index])
spatial_spectrum[peak_index-10:peak_index+10] = 0 # set values around peak to zero to find next peak
return np.array(doa_estimates)
```
该算法使用了一个输入参数 `cov_mat`,该参数是一个 $N \times N$ 的协方差矩阵,其中 $N$ 是接收到的信号的天线数量。算法还需要一个输入参数 `n_sources`,该参数指定要估计的信号源数量。算法输出一个长度为 `n_sources` 的数组,其中包含估计的信号源的方向(以度为单位)。