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首页> 外文会议>2011 10th International Conference on Electronic Measurement Instruments >Research and comparison of anti-jamming performances of LMS and LCMV algorithm based on MATLAB simulation
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Research and comparison of anti-jamming performances of LMS and LCMV algorithm based on MATLAB simulation

机译：基于MATLAB仿真的LMS和LCMV算法抗干扰性能研究与比较。

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摘要

Airspace anti-jamming technology is an effective program to solve the problem that signal reception of GNSS receiver which can be easily interfered, and the key of the technology is to choose the proper adaptive algorithm. The principles of LMS (Least mean square) and LCMV (linear-constrained-minimum-variance) algorithm are illustrated and compared in some parameters such as convergence rate, SNR (signal- noise-ratio) and BER (bit-error-ratio), and so on. These algorithms are simulated by MATLAB, and combined with the model of multi-antenna array. It is indicated that the convergence rate of LCMV is a little bit slower than LMS algorithm, but the average value of error and convergence efficiency of former is better than the latter when stabilized at last.
机译：空域抗干扰技术是解决GNSS接收机信号接收容易受到干扰的有效方案，该技术的关键是选择合适的自适应算法。阐述并比较了LMS（最小均方）和LCMV（线性约束最小方差）算法的原理，并在诸如收敛速率，SNR（信号噪声比）和BER（误码率）等参数中进行了比较。 ， 等等。这些算法通过MATLAB进行仿真，并与多天线阵列模型相结合。结果表明，LCMV算法的收敛速度比LMS算法慢，但最终稳定时，前者的误差和收敛效率的平均值要好于后者。

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