| 摘要: |
| 基于独立成分分析（ICA）时域滤波的时相调制（TPM）通信系统中的噪声干扰对系统性能有很大的影响。采用稀疏编码方法对TPM通信中的噪声进行抑制。首先对观测信号采用稀疏编码方法进行稀疏编码，然后对处理后的信号使用压缩方法处理，从而将ICA过程中对噪声所代表的小的变元值变小或置零，最终达到对噪声的削弱。仿真表明，稀疏编码方法对TPM通信中的噪声确实有较好的抑制，与不采用所提方法相比，大约有1 dB的系统误码性能提高。 |
| 关键词: 时相调制 独立成分分析 稀疏编码 噪声抑制 |
| DOI： |
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| 基金项目:国家自然科学基金资助项目（60772056）；山东省“泰山学者”建设工程项目 |
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| Analysis of TPM communication noise suppression based on sparse coding |
| ZHAO Pei-hong,WANG Hong-xing,PING Dian-fa,LU Wei,MAO Zhong-yang |
| () |
| Abstract: |
| The noise interference would bring tremendous influence on the Time-phase modulation system based on Independent Component Analysis(ICA) time domain filtering. This paper adopts sparse coding technology to suppress noise for time-phase modulation(TPM) communication signals. Firstly,sparse coding method is adopted to encode with regard to observation signals and then the processed signals are compressed,thus these small argument-values are substituted by smaller or zero value and the noise is suppressed. The simulation shows that sparse coding method has suppressed noise better for the TPM communication system and it can improve approximately 1 dB of system error performance. |
| Key words: TPM system independent component analysis sparse coding noise suppression |
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