Figure 6 shows the prediction of total phase errors contributed by the synchronization link. The prediction of standard deviation Deltarasin? (STD) of the phase synchronization error contributed by synchronization link versus synchronization rate is shown in Figure 7. Note that Figure 7 is a statistical result with twenty realizations of the stochastic process described previously. From Figure 7, we can see that successful synchronization error compensation is possible by using this dedicated synchronization link with enough synchronization rate.Figure 6Prediction of phase errors via the dedicated synchronization link.Figure 7Prediction of phase synchronization accuracy versus synchronization repeatedly frequency rate.5.

ConclusionA dedicated synchronization link is a solution to avert the performance degradation due to oscillator frequency instability in distributed radar system. Hence, the use of a dedicated synchronization link to quantify and compensate oscillator frequency instability is investigated in this paper. With analytical models of phase noise, closed analytic expressions for the link performance are derived. We utilize the knowledge of statistical models, system error contributions, sampling considerations, and signal processing parameters to investigate the residual phase error after synchronization, and the possible error contributions including oscillator, PLL, and receiver noise are quantified. Simulation results show that effective synchronization error compensation is possible by using this dedicated synchronization link.

Note that this paper considers mainly radar-related synchronization applications, but the presented method Cilengitide and analysis results are also effective for other distributed wireless systems.AcknowledgmentsThis work was supported in part by the National Natural Science Foundation of China under Grant no. 41101317, the Fundamental Research Funds for the Central Universities under Grant no. ZYGX2010J001, and the Program for New Century Excellent Talents in University under Grant no. NCET-12-0095.
In the context of global warming, climate specialists all over the world show great attention to the projection for future local climate change. Currently, global climate models are considered as an important tool for understanding attributions of past climate change and predicting the future [1�C5]. Therefore, it is very important to assess the ability of those models to reproduce the observed climatological features, which will directly affect the ��reproduction�� of current decadal climate changes, and verify to some extent the credibility for future climate change projections.