Matlab空时自适应抗干扰算法的DSP实现

摘要卫星信号容易受到干扰，因此研究卫星导航的抗干扰技术，对提高卫星导航系统的工作性能有重要意义。空时自适应抗干扰技术弥补了单纯的时域、频域和空域方法的不足，可同时抑制多种干扰，在不增加阵元数的情况下增加了可抗干扰数目。本文选用了功率倒置空时自适应抗干扰算法，其优点是无需预先知道期望即可抑制强干扰。论文首先将算法在Matlab中实现，对比了空域算法与空时算法在点频单干扰与点频多干扰情况下的抗干扰性能。然后将算法在VisualDSP++平台上实现，并将DSP算得权值与Matlab算得权值进行对比，同时绘制二文方向图。最后将DSP程序烧写到数字板上，进行空时抗干扰实验。23232
关键词卫星导航系统空时自适应抗干扰功率倒置 Matlab DSP
毕业设计说明书（毕业论文）外文摘要
Title   Realization of Anti-Jamming Space-Time Adaptive Algorithm Based on DSP hardware
Abstract
The satellite signals are susceptible to interferences, so the anti-jamming research is important in improving the performance of Satellite Navigation System. Space-time adaptive anti-jamming technology, which can successfully make up for the shortage of time domain, frequency domain and space domain, has the advantaged of suppressing narrowband interference, wideband interference and multipath interference at the same time. The advantage of STAP is that increasing the degree of freedom without increasing the number of array elements. The power inversion algorithm can suppress interference without the information of the signal direction.. Firstly, realized the algorithm using the Matlab. From the simulation, the anti-jamming performance comparison between the space domain algorithm and the space-time algorithm is presented at the situation of single-point frequency interference and multi-frequency interference. Then, realized the algorithm on the VisualDSP++ platform, compared the weight from DSP with the weight from Matlab, and drawing the two-dimensional pattern. The DSP simulation results confirm the fesibility of the Space-time adaptive anti-jamming algorithm.
Keywords Satellite Navigation System Space-time adaptive anti-jamming
          power inversion algorithm   Matlab   DSP
目次
1    绪论    1
1.1    研究背景    1
1.2    自适应抗干扰技术简介    1
1.3    论文章节安排    2
2    算法的原理分析    3
2.1    空时自适应抗干扰算法的最优准则    3
2.2    空时自适应抗干扰算法的实现    4
2.3    功率倒置自适应算法    6
3    算法的Matlab实现    7
3.1    Matlab程序设计    7
3.2    Matlab程序仿真与结果分析    8
4    算法的DSP实现    18
4.1    DSP技术简介    18
4.2    算法的DSP实现    19
4.3    空时算法抗干扰实验    22
结论    29
致谢    31
参考文献32
1    绪论
1.1    研究背景
卫星导航系统利用人造卫星进行测时与测距，从而为用户提供全天候、高精度的位置、时间与速度信息[1]，在军事和民用领域都有广泛的应用。研究卫星导航抗干扰技术，对有效提高卫星导航系统的工作性能，具有重要意义。 Matlab空时自适应抗干扰算法的DSP实现:http://www.751com.cn/tongxin/lunwen_16200.html