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distributed source meaning in English

分布源

Examples

  1. Also , much related research requires the narrowband assumption , which is not always realistic in practical applications . it is necessary to analyze the effects of finite bandwidth to bearing estimation of spatially distributed source . additionally , more complex noise models should be dealt with in practical situations as well as that of white gaussian noise
    不过,其中多数方法仅适用于小角度扩展情况,当角度扩展比较大时,需要在估计的稳健性和运算量之间进行折中;而且,许多方法要求信号传播满足窄带假设,这在实际的应用场合中可能很难得到满足,有必要分析信号带宽对分布源波达方向估计的影响;另外,也有必要考虑空间色噪声环境中的分布源波达方向估计问题。
  2. 2 ) systematically introduced parameter estimation of distributed sources on the base of models , including the maximum likelihood estimate , least squares estimator , dspe , dispare , etc . 3 ) studied four low complexity algorithms : one order approximation , two point sources approximation , traditional beamforming and relax of parameter estimation
    2 )在模型基础上系统地介绍了已有分布式目标参数估计方法,包括最大似然与最小二乘算法, dspe和dispare算法等。 3 )研究了四种低复杂度算法:一阶近似算法、两点近似的算法、常规波束形成算法和relax算法,这些算法都是次优算法,但计算量小,具有实用价值。
  3. The thesis analyzes the methods for parameter estimation of distributed sources in detail , and low complexity estimators , comes up with relax in parameter estimation and robust method of high resolution parameter estimators for distributed sources , and gives theory analysis and simulation results
    论文详细分析了已有分布式目标参数估计方法及低复杂度的参数估计方法,提出了分布式目标参数估计的relax算法和具有稳健性的分布式目标高分辨估计方法,并给出了相应的理论分析和仿真实验结果。
  4. 4 ) a uniform crb expression of bearing estimation for spatially distributed sources in unknown noise environments is derived . more exactly , the crb performance of bearing estimation for spatially distributed sources in several typical spatially - correlated noises is evaluated theoretically and numerically , respectively . it is disclosed that the estimated errors mainly depend on space ambiguity between signal and noise components
    4 )推导了未知噪声环境中空间分布源波达方向估计的统一的crb表达式,分析了几种典型的空间色噪声情况下分布源波达方向估计的极限性能,揭示了信号分量和噪声分量之间的空间混叠对分布源波达方向估计的决定性作用。
  5. Based on the basic theories and performances of the eigen - structure subspace algorithms , the disadvantages of this kind of algorithms are further analyzed and the improved methods are presented . for the method of distributed source doa estimation under the multipath condition , the corresponding errors are corrected and the theoretical reasons of the performance shortage are pointed out . with respect to the two - dimension doa estimation , it demonstrates the shortages of several antenna arrays and proposes the ways to improve the system performances
    在掌握特征结构子空间算法的基本原理和性能基础上,进一步分析了这一类算法性能的不足之处及其原因,有针对性地进行了改进;分析了多径环境下的分布式目标波达方向估计方法,改正了方法中的错误,指出了方法性能缺陷的理论原因;在二维空间信号的波达方向估计中,指出了一些常用阵列结构的不足,针对性地提出改进的方法,提高了系统性能;分析了自适应波束形成算法的计算量,提出了减少计算量的方法。
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