[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Cheikh et al., 2011 - Google Patents

Performance of the fuzzy VI-CFAR detector in non-homogeneous environments

Cheikh et al., 2011

Document ID
608842050177618143
Author
Cheikh K
Soltani F
Publication year
Publication venue
2011 IEEE International Conference on Signal and Image Processing Applications (ICSIPA)

External Links

Snippet

In this paper, we applied the concept of fuzzy logic to improve the performance of the Variability Index Constant False Alarm Rate (VI-CFAR) detector. The VI-CFAR detector is an intelligent detector which uses data from the reference window to compute two second-order …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
    • G01S7/28—Details of pulse systems
    • G01S7/285—Receivers
    • G01S7/292—Extracting wanted echo-signals
    • G01S7/2921—Extracting wanted echo-signals based on data belonging to one radar period
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
    • G01S7/28—Details of pulse systems
    • G01S7/285—Receivers
    • G01S7/292—Extracting wanted echo-signals
    • G01S7/2923—Extracting wanted echo-signals based on data belonging to a number of consecutive radar periods
    • G01S7/2927—Extracting wanted echo-signals based on data belonging to a number of consecutive radar periods by deriving and controlling a threshold value
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/02—Systems using reflection of radio waves, e.g. primary radar systems; Analogous systems
    • G01S13/50—Systems of measurement based on relative movement of target
    • G01S13/52—Discriminating between fixed and moving objects or between objects moving at different speeds
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/66—Radar-tracking systems; Analogous systems where the wavelength or the kind of wave is irrelevant
    • G01S13/72—Radar-tracking systems; Analogous systems where the wavelength or the kind of wave is irrelevant for two-dimensional tracking, e.g. combination of angle and range tracking, track-while-scan radar
    • G01S13/723—Radar-tracking systems; Analogous systems where the wavelength or the kind of wave is irrelevant for two-dimensional tracking, e.g. combination of angle and range tracking, track-while-scan radar by using numerical data
    • G01S13/726—Multiple target tracking

Similar Documents

Publication Publication Date Title
WO2008127277A1 (en) A sparse sampling planner for sensor resource management
Weinberg et al. Development of non-coherent CFAR detection processes in Weibull background
El Mashade Heterogeneous performance analysis of the new model of CFAR detectors for partially-correlated χ2-targets
Zaimbashi et al. Automatic dual censoring cell-averaging CFAR detector in non-homogenous environments
Cheikh et al. Performance of the fuzzy VI-CFAR detector in non-homogeneous environments
Meziani et al. Decentralized fuzzy CFAR detectors in homogeneous Pearson clutter background
Doyuran et al. Expectation maximization-based detection in range-heterogeneous Weibull clutter
Moraffah et al. Use of hierarchical Dirichlet processes to integrate dependent observations from multiple disparate sensors for tracking
Abbadi et al. A new adaptive CFAR processor in multiple target situations
Xu et al. Fuzzy soft decision CFAR detector for the K distribution data
De Maio et al. Radar detection, performance analysis, and CFAR techniques
Tabet et al. A generalized switching CFAR processor based on test cell statistics
Abdou et al. Threshold optimization in distributed OS-CFAR system by using simulated annealing technique
Tien et al. An adaptive 2D-OS-CFAR thresholding in clutter environments: Test with real data
Zheng et al. Optimization and analysis of PDAF with Bayesian detection
Lu et al. Robust centralized CFAR detection for multistatic sonar systems
Lu et al. Robust distributed sonar CFAR detection based on modified VI-CFAR detector
Mezache et al. Threshold optimization of decentralized CFAR Detection in Weibull clutter using genetic algorithms
El Mashade Performance predominance of a new strategy for CFAR processors over the NP model in detecting four degrees of freedom χ2 fluctuating targets
Zhao et al. A new CFAR detector based on ordered data variability
El Mashade Heterogeneous performance assessment of new approach for partially-correlated χ2-targets adaptive detection
Shuping et al. Robust Centralized CFAR Detection for Multistatic Sonar Systems
Jiang et al. Positive definite matrix space based detector with limited training samples for multiple target situations
Zebiri et al. Biogeography based optimization for distributed CFAR detection in Pareto clutter
Mezache et al. On the performance of non-coherent CFAR detectors in sea-clutter: A comparison study