Robust signal detection using the bootstrap

نویسندگان

  • Hwa-Tung Ong
  • Abdelhak M. Zoubir
چکیده

This paper presents a CFAR detector based on the bootstrap for detecting signals with unknown amplitude, phase and frequency such as found in conventional pulsed radar and sonar systems. The detector is robust against non-Gaussian noise, and can still maintain the false alarm rate without much modification if consistent estimates are substituted for unknown parameters. Preliminary asymptotic results are given on the performance of the detector, and simulations are used to study the performance for small samples sizes.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A New Robust Bootstrap Algorithm for the Assessment of Common Set of Weights in Performance Analysis

The performance of the units is defined as the ratio of the weighted sum of outputs to the weighted sum of inputs. These weights can be determined by data envelopment analysis (DEA) models. The inputs and outputs of the related (Decision Making Unit) DMU are assessed by a set of the weights obtained via DEA for each DMU. In addition, the weights are not generally common, but rather, they are ve...

متن کامل

A Novel Fault Detection and Classification Approach in Transmission Lines Based on Statistical Patterns

Symmetrical nature of mean of electrical signals during normal operating conditions is used in the fault detection task for dependable, robust, and simple fault detector implementation is presented in this work. Every fourth cycle of the instantaneous current signal, the mean is computed and carried into the next cycle to discover nonlinearities in the signal. A fault detection task is complete...

متن کامل

A Bootstrap Interval Robust Data Envelopment Analysis for Estimate Efficiency and Ranking Hospitals

Data envelopment analysis (DEA) is one of non-parametric methods for evaluating efficiency of each unit. Limited resources in healthcare economy is the main reason in measuring efficiency of hospitals. In this study, a bootstrap interval data envelopment analysis (BIRDEA) is proposed for measuring the efficiency of hospitals affiliated with the Hamedan University of Medical Sciences. The propos...

متن کامل

Fast and stable bootstrap methods for robust estimates

The standard error and sampling distribution of robust estimates can, in principle, be estimated using the bootstrap. However, two problems arise when we want to use bootstrap with robust estimates on moderately large data sets: the bootstrap estimates may be unrealiable because the proportion of outliers in many bootstrap samples could be higher than that in the original data set, and the high...

متن کامل

Selecting the Most Economic Project under Uncertainty Using Bootstrap Technique and Fuzzy Simulation

This article, by leaving pre-determined membership function of a fuzzy set which is a basic assumption for such subject, will try to propose a hybrid technique to select the most economic project among alternative projects in fuzziness interest rates condition. In this way, net present worth (NPW) would be the economic indicator. This article tries to challenge the assumption of large sample si...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1999