| 摘要: |
| 讨论了基于离散信号空间上的最小能量（小波）框架的跟踪干扰信号识别和去噪算法。利用一组框架对采用相位调制的接收信号进行分解，如果受到跟踪干扰，则未干扰区信号和干扰区信号的3个分解子信号将呈现明显不同的能量分布特征，据此提出了一种跟踪干扰信号识别和自适应阈值去噪算法。理论分析和仿真结果表明，识别算法具备低虚警率和漏警率性能，而去噪算法有效抑制了干扰信号能量，10-2 误包率时，BPSK+1/2 Turbo信号中1/16尾部信号受到干信比值10 dB的高斯噪声干扰后，去噪算法获得了约4 dB的增益；而QPSK+1/2 Turbo信号中1/8尾部信号受到干信比值10 dB的高斯噪声干扰后，去噪算法可以把误包率性能从1降低至约0.67的水平。 |
| 关键词: 跳频通信 跟踪干扰信号 最小能量（小波）框架 干扰识别 自适应阈值去噪 |
| DOI： |
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| 基金项目: |
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| A tracking and interference signal identification and noise elimination algorithm over minimum energy frame |
| YU Qingsong,YANG Shiping |
| (Guangzhou Haige Communications Group Incorporated Company,Guangzhou 510665,China) |
| Abstract: |
| This paper discusses the tracking and interference signal identification and noise elimination algorithm over the minimum energy(wavelet) frame based on the discrete signal space.A group of frames are used to resolve the received signal with phase modulation.If it is tracked and interfered,3 resolved sub-signals in the undisturbed area and the interfered area will show the obviously different energy distribution feature.On this base,a tracking and interference signal identification and adaptive threshold noise elimination algorithm is proposed.Theoretical analysis and simulation result show that the identification algorithm has low false alarm rate and missing alarm rate performances,while the noise elimination algorithm can reject effectively the energy of the interfered signal.When the packet error rate(PER) is 10-2 and the 1/16 tail signal in BPSK+1/2 Turbo signal is interfered by Gauss noise with 10 dB interference-to-signal ratio(ISR),the noise elimination algorithm gets gain of about 4 dB.However,when the 1/8 tail signal in QPSK+1/2 Turbo signal is interfered by Gauss noise with 10 dB ISR,the noise elimination algorithm can reduce the PER performance from 1 to about 0.67. |
| Key words: FH communication tracking and interference signal minimum energy(wavelet) frame interference identification adaptive threshold noise elimination |
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