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引用次数: 4
摘要
空域抗干扰技术是解决GNSS接收机信号接收容易受到干扰问题的有效方案，该技术的关键在于选择合适的自适应算法。阐述了LMS (Least mean square)算法和LCMV (linear-constrained-minimum-variance)算法的原理，并在收敛速率、信噪比和误码率等参数上进行了比较。利用MATLAB对这些算法进行了仿真，并结合多天线阵模型进行了仿真。结果表明，LCMV算法的收敛速度略慢于LMS算法，但在最终趋于稳定时，前者的误差平均值和收敛效率均优于后者。
Research and comparison of anti-jamming performances of LMS and LCMV algorithm based on MATLAB simulation
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.
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