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基于非独立同分布的起伏目标检测理论研究
  • 项目名称：基于非独立同分布的起伏目标检测理论研究
  • 项目类别：青年科学基金项目
  • 批准号：61201276
  • 申请代码：F010304
  • 项目来源：国家自然科学基金
  • 研究期限：2013-01-01-2015-12-31
  • 项目负责人：崔国龙
  • 依托单位：电子科技大学
  • 批准年度：2012
中文摘要：

本项目旨在解决非独立同分布起伏目标的检测问题，通过研究非独立同分布起伏目标的电磁散射机理、目标散射截面积起伏模型、相关模型与数学统计特性函数（联合概率密度函数、随机变量代数和的概率密度函数等）的计算方法、目标最佳检测算法与理论性能评估等基本问题，建立和完善非独立同分布起伏目标的检测理论体系；提出非独立同分布起伏目标检测方案，提供相应的设计手段，突破关键技术，设计仿真试验，对本项目研究所获得的理论成果进行验证。该项目的研究可以提高我国复杂起伏目标检测的基础研究水平和自主创新能力，具有重要的科学意义；其理论成果和技术还可直接应用于频率捷变雷达、MIMO雷达、高分辨雷达和极化雷达等。

中文主题词： 非独立同分布；目标建模；高速高机动目标；检测估计；性能评估
结论摘要：

英文主题词non-independent identically distributed；the target modelling；high speed and maneuvering targets；detection and estimation；performance evaluation

成果综合统计
成果类型
数量
  • 期刊论文
  • 会议论文
  • 专利
  • 获奖
  • 著作
  • 31
  • 20
  • 0
  • 0
  • 0
期刊论文
Phase-Modulated Waveform Evaluation and Selection Strategy in Compound-Gaussian Clutter
ISAR imaging of maneuvering target with complex motlons based on ACCF-LVD
Track-Before-Detect strategies for range distributed target detection in compound-Gaussian clutter
Fast Non-Searching Method for Maneuvering Target Detection and Motion Parameters Estimation
Theoretical analysis of the sequential lobing technique for correlated targets
Moving target detection for polarimetric multiple-input multiple-output radar in Gaussian clutter
A Fast Maneuvering Target Motion Parameters Estimation Algorithm Based on ACCF
Adaptive Bayesian Detection Using MIMO Radar in Spatially Heterogeneous Clutter
Sidelobe Blanking with Generalized Swerling-Chi Fluctuation Models
MIMO Radar Moving Target Detection Against Compound-Gaussian Clutter
Multichannel and Multiview Imaging Approach to Building Layout Determination of Through-Wall Radar
A Coupled Sequential Detection andEstimation Procedure for Track-Before-Detect
CFAR Performance Prediction for Non-IID
Performance prediction of the incoherent radar detector for correlated generalized Swerling-chi fluc
Performance Prediction of OS-CFAR for Generalized Sweling-Chi Fluctuating Targets
A low complexity coherent integration method for maneuvering target detection
Coherent Integration for Maneuvering Target Detection Based on Radon-Lv's Distribution
A Fast Detection Method for Maneuvering Target in Coherent Radar
Performance prediction of the incoherent detector fora weibull fluctuating target
Adaptive detection and estimation for an unknown occurring interval signal in correlated Gaussian no
Advanced SLB Architectures with Invariant Receivers
MIMO Radar Waveform Design With Constant Modulus and Similarity Constraints
Coherent Integration Algorithm for a Maneuvering Target With High-Order Range Migration
Adaptive detection of moving target with MIMO radar inheterogeneous environments based on Rao and Wa
Approximation to independent lognormal sum with α–μ distribution and the application
高速弱小目标检测的并行处理方法与性能分析
信号相关杂波背景下稳健的恒模序列与接收滤波器设计方法
雷达通信一体化网络设计
一种临近空间高超声速目标航迹起始算法
会议论文
Distributed MIMO radar Detection with Channel Evaluation and Selection Strategy
Knowledge-aided Bayesian detection for MIMO radar in compound-Gaussian clutter with inverse Gamma te
Range migration correction for maneuvering target based on generalized keystone transform
Detection and Estimation a Scattering Signal with Unknown Location and Length in Multiple Measuremen
Simple α -μ Approximation to Lognormal Sums
Performance prediction of the CFAR detector for generalized Swerling-Chi fluctuating targets
A fast non-searching method for maneuvering targetd etection based on ACCF
Tracking Targets in K Clutter via Particle Filter
MIMO radar moving target detection in compound-Gaussian clutter
Wall Compensation Algorithm for Through-wall-radar Building Layout Imaging
Wald test designed for moving target with MIMO radar in compound-Gaussian clutter
Polarimetric MIMO radar Detection for Correlated Fluctuating Targets
MIMO Radar Detection in Compound-Gaussian Clutterwith Inverse Gaussian Texture
Maximum-Likelihood Estimation for Covariance Matrix in Compound-Gaussian Clutter via Autoregressive
Incoherent Detector Performance Analysis for Lognormal Fluctuating Targets
Adaptive Bayesian Detection Using PolarimetricMIMO Radar in Spatially Heterogeneous Clutter
Maximum-Likelihood Estimation for Covariance Matrix in Compound-Gaussian Clutter via Autoregressive
Moving Target Detection for Polarimetric MIMO Radar in Homogeneous Gaussian Clutter
Building Layout Imaging with Spatial Filtering Basedon Image Optimization
Wall Compensation in Imaging of Hidden Targets behind Multiple Walls
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