引用本文: | 刘鑫,贾敏,李秀华,谭学治.双门限频谱估计的变换域通信系统[J].哈尔滨工业大学学报,2013,45(7):103.DOI:10.11918/j.issn.0367-6234.2013.07.019 |
| LIU Xin,JIA Min,LI Xiuhua,TAN Xuezhi.Transform domain communication system based on double-threshold spectrum estimation[J].Journal of Harbin Institute of Technology,2013,45(7):103.DOI:10.11918/j.issn.0367-6234.2013.07.019 |
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摘要: |
为了提高变换域通信系统(Transform Domain Communication System, TDCS)的频谱利用率和将降低它所受到的干扰,提出采用双门限能量检测估计TDCS周围的频谱环境.提出的TDCS将频谱检测值与双门限作比较,大于高门限和小于低门限的频谱被分别标记为0和1,而位于双门限之间的频谱被标记为0.5,频谱标记信息乘以伪随机相位经过离散傅里叶逆变换(Inverse Discrete Fourier Transform, IDFT)产生时域基函数,TDCS采用循环码移位键控(Cyclic Code Shift Keying, CCSK)将数据调制到基函数上实现通信.仿真表明,当频谱存在干扰时,相比传统的单门限TDCS,提出的双门限TDCS具有更低的误码率(Bit Error Rate, BER)和更高的吞吐量. |
关键词: 变换域通信系统 频谱估计 能量检测 误码率 吞吐量 |
DOI:10.11918/j.issn.0367-6234.2013.07.019 |
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基金项目:国家自然科学基金项目(61201143);哈尔滨工业大学科研创新基金 (Grant No. HIT. NSRIF. 2010091); 中国博士后科学基金 (Grant No. 2012M510956)及黑龙江省博士后科学基金 (Grant No. LBHZ11128 ). |
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Transform domain communication system based on double-threshold spectrum estimation |
LIU Xin1,2, JIA Min2, LI Xiuhua2, TAN Xuezhi2
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(1. College of Astronautics, Nanjing University of Aeronautics and Astronautics, 210016 Nanjing, China;2. Communication Research Centre, Harbin Institute of Technology, 150080 Harbin, China)
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Abstract: |
To improve the throughput and decrease the suffered interference of TDCS, the double-threshold energy detection is proposed to estimate the spectrum environment around TDCS. By comparing the detected spectrum value with the double thresholds, the spectrum with the statistic above the upper threshold is marked as 0, and below the lower threshold is marked as 1, while that between the double thresholds is marked as 0.5. The basic function at time domain is obtained by operating IDFT to the product of spectrum marker and pseudo random phase. TDCS implements communication by modulating data on the basic function with CCSK. Simulation shows that compared with the traditional single-threshold TDCS, the proposed double-threshold TDCS bears lower BER and higher throughput. |
Key words: TDCS spectrum estimation energy detection BER throughput
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