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TRAFFIC-BASED SCHEDULING MECHANISM IN AN IP/ATM ROUTER
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作者 李珂 朱康辛 +1 位作者 顾尚杰 诸鸿文 《Journal of Shanghai Jiaotong university(Science)》 EI 2001年第1期44-47,共4页
This article briefly presented the design and software architecture of an IP/ATM multiple sub network router. It established the queue model of IP process module and proposed a traffic based scheduling mechanism (AICS... This article briefly presented the design and software architecture of an IP/ATM multiple sub network router. It established the queue model of IP process module and proposed a traffic based scheduling mechanism (AICS: Adaptive Incomplete Cyclic Service). It also provided a simulation study on the system throughput and packet delay jitter performance for both AICS mechanism and IICS mechanism proposed in the prior work. The simulation results show that, comparing with IICS, AICS can provide much better packet delay jitter performance when high speed sub networks exist bursty traffic and give better fairness. 展开更多
关键词 ROUTER adaptive incomplete cyclic service packet scheduling
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An approach for parameter estimation of combined CPPM and LFM radar signal 被引量:3
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作者 Zhang Wei Xiong Ying +2 位作者 Wang Pei Wang Jun Tang Bin 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2013年第4期986-992,共7页
In this paper, the problem of parameter estimation of the combined radar signal adopting chaotic pulse position modulation (CPPM) and linear frequency modulation (LFM), which can be widely used in electronic count... In this paper, the problem of parameter estimation of the combined radar signal adopting chaotic pulse position modulation (CPPM) and linear frequency modulation (LFM), which can be widely used in electronic countermeasures, is addressed. An approach is proposed to estimate the initial frequency and chirp rate of the combined signal by exploiting the second-order cyclostationarity of the intra-pulse signal. In addition, under the condition of the equal pulse width, the pulse repetition interval (PRI) of the combined signal is predicted using the low-order Volterra adaptive filter. Simulations demonstrate that the proposed cyclic autocorrelation Hough transform (CHT) algorithm is theoretically tolerant to additive white Gaussian noise. When the value of signal noise to ratio (SNR) is less than 4 dB, it can still estimate the intra-pulse parameters well. When SNR = 3 dB, a good prediction of the PRI sequence can be achieved by the Volterra adaptive filter algorithm, even only 100 training samples. 展开更多
关键词 Chaotic pulse position modulation Combined radar signal Cyclic autocorrelation Electronic countermeasures Hough transform Linear frequency modulation Volterra adaptive filter
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