Skip to content

Create MUSIC.py #1

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
Thilonlin wants to merge 1 commit into
base: master
Choose a base branch
from
Open

Create MUSIC.py #1

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
48 changes: 48 additions & 0 deletions 修改代码/已完成/MUSIC.py
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,48 @@
import math
from matplotlib.pyplot import xcorr
import numpy as np

#matlab2py MUSIC 算法

'''
% Inputs:
% CSM: cross-spectrum matrix (CSM)
% hn: steering vector
% nSources: number of sources
%
% Outputs:
% MUSIC_result: beamforming map, obtained by MUSIC
%
% Author: Hao Liang
% Last modified by: 21/09/15
'''

#setting
def MUSIC(CSM,hn,nSources):
[N_X,N_Y,N_mic] = hn.shape

#对角重载
CSM = CSM + CSM.trace()/(N_mic**2)*np.eye(N_mic)
CSM = CSM /N_mic

#特征值
np.array(Vec,Val) = np.linalg.eigvals(CSM)
np.array(Seq) = np.sort(max(Val))

#噪声特征值
Vn = np.array.Vec(np.array.Seq(range(0,len(np.array.Seq)-1))\
,np.array.Seq(range(0,len(np.array.Seq)-nSources-1)))

#空间频谱成像
MUSIC_result = np.zeros(N_X,N_Y)
for ii in range(1,N_X) :
for jj in range(1,N_Y) :
e = np.reshape(hn(ii,jj,),N_mic,1)
MUSIC_result(ii,jj) = 1./(e.T*(Vn*Vn.T)*e)

return MUSIC_result