具有先验不确定参数的外部干扰下DPSK信号的渐近鲁棒不变解调算法

N. S. Khailo, A. V. Krivetsky, A. G. Vostretsov
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引用次数: 0

摘要

针对飞机通信系统中具有任意调制多重的DPSK信号,在未知概率分布的噪声和具有先验不确定参数的噪声复合体的背景下,合成了一种渐近鲁棒不变解调算法。通过计算机仿真建模对所提算法的有效性进行了分析。该算法实现了对窄带脉冲噪声的自动检测和抑制。这种类型的干扰是无线电导航系统的典型。研究表明,当信噪比小于-10 dB时,窄带脉冲噪声应被消除。采用渐近鲁棒性原理,保证了算法特征对噪声概率分布密度特征变化的稳定性。研究发现,窄带脉冲消干扰和渐近鲁棒方法的联合应用,无论在背景高斯噪声下接收,还是在脉冲干扰和“重尾”噪声作用下接收,都能提供可靠的解调性能。此外,研究表明,采用差分相位调制、直接序列扩频和旁瓣电平小于10%的信号可以有效地抑制多径信号传播引起的干扰。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An asymptotically robust invariant algorithm for demodulation of DPSK signals under external interference with a priori uncertain parameters
The study aims at synthesizing an asymptotically robust invariant demodulation algorithm for DPSK signals with arbitrary modulation multiplicity used in aircraft communication systems and observed against the background of noise with an unknown probability distribution and a noise complex with a priori uncertain parameters. The analysis of the efficiency of the proposed algorithm is carried out by a computer simulation modeling. The algorithm implies automatic detection and rejection of narrowband pulse noise. This type of interference is typical for radio-navigation systems. It has been shown that the narrowband pulse noise should be eliminated if the signal-to-interference ratio becomes less than -10 dB. The use of the asymptotic robustness principle ensures the stability of the algorithm characteristics to changes in the character of the noise probability distribution density. It was found that the joint application of narrowband pulse interference elimination and the asymptotically robust approach provides reliable demodulation performance both when receiving against the background Gaussian noise and under the action of pulse interference and noise with "heavy tails". In addition, it has been shown that the use of signals with differential phase modulation, direct sequence spread spectrum, and the sidelobe levels of less than 10% effectively suppresses interference caused by multipath signal propagation.
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