Target recognition performance can be affected by radar waveform parameters.In this paper,we established rigorous relationship between target recognition efficiency and the parameters of a repeatedly transmitted wavef...Target recognition performance can be affected by radar waveform parameters.In this paper,we established rigorous relationship between target recognition efficiency and the parameters of a repeatedly transmitted waveform.It is based on Kullback-Leibler Information Number of single observation(KLINs),which measures the dissimilarity between targets depicted by a range-velocity double spread density function in frequency domain.We considered two signal models which are different in the coherence of the observations.The method we proposed takes advantage of the methodology of sequential hypothesis test,and then the recognition performance in terms of correct classification rate is expressed by Receiver Operating Characteristic(ROC).Simulation results about the parameters of LFM signal show the validity of the method.展开更多
Based upon the deep seismic sounding profile conducted in the Tengchong volcanic-geothermal area, a two-dimensional crustal P velocity structure is obtained by use of the finite-difference inversion and the forward tr...Based upon the deep seismic sounding profile conducted in the Tengchong volcanic-geothermal area, a two-dimensional crustal P velocity structure is obtained by use of the finite-difference inversion and the forward travel-time fitting method. The crustal model shows that there is a low velocity zone in upper crust in the Tengchong area, which may be related to the volcanic-geothermal activities, and two intracrustal faults (the LonglingRuili fault and Tengchong fault) exist on the profile, where the Tengchong fault may extend to the Moho discontinuity. Meanwhile, based on teleseismic data recorded by a temporary seismic network, we obtained the S-wave velocity structures beneath the RehaiRetian region in the Tengchong area, which show the low S-wave velocity anomaly in upper crust. The authors discuss the causes of Tengchong volcanic eruption based on the deep crustal structure. The crustal structure in the Tengchong volcanic-geothermal area is characterized by low P-wave and S-wave velocity, low resistivity, high heat-flow value and low Q value. The P-wave velocity in the upper mantle is also low. For this information, it can be induced that the magma in the crust is derived from the upper mantle, and the low velocity anomaly in upper crust in the Tengchong area may be related to the differentiation of magma. The Tengchong volcanoes are close to an active plate boundary and belong to plate boundary volcanoes.展开更多
基于常规模拟退火算法的零偏VSP全波形反演面临着计算量大和耗时长的问题。为此提出了一种不同阶段对应不同扰动模型和退火方式的分段快速模拟退火(segmented fast simulated annealing,SFSA)反演策略,以提高零偏VSP资料全波形反演的效...基于常规模拟退火算法的零偏VSP全波形反演面临着计算量大和耗时长的问题。为此提出了一种不同阶段对应不同扰动模型和退火方式的分段快速模拟退火(segmented fast simulated annealing,SFSA)反演策略,以提高零偏VSP资料全波形反演的效率。在反演前期采用大模型扰动空间和较慢温度衰减速度,充分发挥全局搜索能力,而在后期引入限制因子产生扰动模型,在迭代不断增加的时候逐渐减小模型的扰动空间,同时采用较快的温度衰减速度,有效提高反演的速度,使反演快速收敛到最优解。基于相同的初始温度和马尔可夫链长度,分别利用基于SFSA和非常快速模拟退火(very fast simulated annealing,VFSA)方法进行零偏VSP纵波速度全波形反演测试。结果表明,基于SFSA的反演方法的反演效率提高约50%,在迭代次数更少的条件下能获得更好的反演效果。基于SFSA的零偏VSP全波形反演具有高效和高精度的特点,其反演结果为地震地质层位标定、成果解释及油气预测奠定了基础。展开更多
文摘Target recognition performance can be affected by radar waveform parameters.In this paper,we established rigorous relationship between target recognition efficiency and the parameters of a repeatedly transmitted waveform.It is based on Kullback-Leibler Information Number of single observation(KLINs),which measures the dissimilarity between targets depicted by a range-velocity double spread density function in frequency domain.We considered two signal models which are different in the coherence of the observations.The method we proposed takes advantage of the methodology of sequential hypothesis test,and then the recognition performance in terms of correct classification rate is expressed by Receiver Operating Characteristic(ROC).Simulation results about the parameters of LFM signal show the validity of the method.
基金The Climb Program (95-S-05-01) of National Scientific and Technological Ministry of China, the Key Project (95-11-02) from China Seismological Bureau, the State Natural Sciences Foundation of China (49974020) and the Joint Earthquake S
文摘Based upon the deep seismic sounding profile conducted in the Tengchong volcanic-geothermal area, a two-dimensional crustal P velocity structure is obtained by use of the finite-difference inversion and the forward travel-time fitting method. The crustal model shows that there is a low velocity zone in upper crust in the Tengchong area, which may be related to the volcanic-geothermal activities, and two intracrustal faults (the LonglingRuili fault and Tengchong fault) exist on the profile, where the Tengchong fault may extend to the Moho discontinuity. Meanwhile, based on teleseismic data recorded by a temporary seismic network, we obtained the S-wave velocity structures beneath the RehaiRetian region in the Tengchong area, which show the low S-wave velocity anomaly in upper crust. The authors discuss the causes of Tengchong volcanic eruption based on the deep crustal structure. The crustal structure in the Tengchong volcanic-geothermal area is characterized by low P-wave and S-wave velocity, low resistivity, high heat-flow value and low Q value. The P-wave velocity in the upper mantle is also low. For this information, it can be induced that the magma in the crust is derived from the upper mantle, and the low velocity anomaly in upper crust in the Tengchong area may be related to the differentiation of magma. The Tengchong volcanoes are close to an active plate boundary and belong to plate boundary volcanoes.
文摘基于常规模拟退火算法的零偏VSP全波形反演面临着计算量大和耗时长的问题。为此提出了一种不同阶段对应不同扰动模型和退火方式的分段快速模拟退火(segmented fast simulated annealing,SFSA)反演策略,以提高零偏VSP资料全波形反演的效率。在反演前期采用大模型扰动空间和较慢温度衰减速度,充分发挥全局搜索能力,而在后期引入限制因子产生扰动模型,在迭代不断增加的时候逐渐减小模型的扰动空间,同时采用较快的温度衰减速度,有效提高反演的速度,使反演快速收敛到最优解。基于相同的初始温度和马尔可夫链长度,分别利用基于SFSA和非常快速模拟退火(very fast simulated annealing,VFSA)方法进行零偏VSP纵波速度全波形反演测试。结果表明,基于SFSA的反演方法的反演效率提高约50%,在迭代次数更少的条件下能获得更好的反演效果。基于SFSA的零偏VSP全波形反演具有高效和高精度的特点,其反演结果为地震地质层位标定、成果解释及油气预测奠定了基础。
