标题: 基于MIMO-OFDM时间同步用LS算法实现matlab源码 [打印本页]

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作者: finelei2002    时间: 2018-7-3 14:58
标题: 基于MIMO-OFDM时间同步用LS算法实现matlab源码
基于MIMO-OFDM时间同步用LS算法实现Timing-synchronization


matlab源程序如下:

1. %...................................................................
   
2. clear all;
   
3. clc;
   
4.   nloop=100;
   
5.   SNR_loop = [-10:5:25];
   
6. for i = 1:1:length(SNR_loop)
   
7.     SNR1 = SNR_loop(i);  
   
8.     [n01(i)]=conventional22(SNR1)
   
9.     pe(i)=(nloop-n01(i))/nloop;
   
10. end
    
11. pe
    
12. 
    
13. grid on;
    
14. semilogy(SNR_loop ,pe,'*-- g','Linewidth', 2)
    
15. axis([-15 20 0.1 1 ])
    
16. hold on;
    
17. %................................................................
    
18. clear all;
    
19. clc;
    
20.   nloop=100;
    
21.   SNR_loop = [-10:5:25];
    
22. for i = 1:1:length(SNR_loop)
    
23.     SNR1 = SNR_loop(i);  
    
24.     [n01(i)]=conventional33(SNR1)
    
25.     pe(i)=(nloop-n01(i))/nloop;
    
26. end
    
27. pe
    
28. 
    
29. grid on;
    
30. semilogy(SNR_loop ,pe,'o-- g','Linewidth', 2)
    
31. axis([-10 25 0.1 1 ])
    
32. hold on;
    
33. %................................................................
    
34. clear all;
    
35. clc;
    
36.   nloop=100;
    
37.   SNR_loop = [-10:5:25];
    
38. for i = 1:1:length(SNR_loop)
    
39.     SNR1 = SNR_loop(i);  
    
40.     [n01(i)]=proposed22(SNR1)
    
41.     pe(i)=(nloop-n01(i))/nloop;
    
42. end
    
43. pe
    
44. 
    
45. grid on;
    
46. semilogy(SNR_loop ,pe,'*- r','Linewidth', 2)
    
47. axis([-10 25 0.1 1 ])
    
48. hold on;
    
49. %.........................................................................
    
50. clear all;
    
51. clc;
    
52.   nloop=100;
    
53.   SNR_loop = [-10:5:25];
    
54. for i = 1:1:length(SNR_loop)
    
55.     SNR1 = SNR_loop(i);  
    
56.     [n01(i)]=proposed33(SNR1)
    
57.     pe(i)=(nloop-n01(i))/nloop;
    
58. end
    
59. pe
    
60. 
    
61. grid on;
    
62. semilogy(SNR_loop ,pe,'o- r','Linewidth', 2)
    
63. axis([-10 25 0.1 1 ])
    
64. hold on;
    
65. %................................................................
    
66. legend('2*2 conventional time est','3*3 conventional time est','2*2 proposed time est','3*3 proposed time est')
    
67. xlabel('SNR dB')
    
68. ylabel('right probability of timing estimation')
    

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