搜索结果: 76-90 共查到“知识库 信号检测”相关记录1126条 . 查询时间(3.983 秒)
针对基于地球同步轨道条带模式合成孔径雷达(synthetic aperture radar,SAR)发射无人机循序渐进对地扫描模式SAR接收组成的星机双基结构(GEO-bistatic radar with GEOSAR and UAVSAR, GEO-UAV BiSAR),提出了该工作模式下的成像算法。首先,基于泰勒展开原理推导了双基斜距,考虑到该双基斜距的空变特性,应用级数反演方法推导了具有距...
提出了一种相干矩阵的自适应估计方法,基于估计结果矩阵进行传统四分量分解,以提高高分辨率极化合成孔径雷达(synthetic aperture radar, SAR)四分量分解的准确性。该方法根据像元主要散射类型对估计样本做自适应选取,消除异质像元对估计结果的影响;并通过对地物异质度的判别实现窗口平均估计和不动点迭代估计的自适应选择,以适应不同异质程度的地物分布情况。实验采用ESAR以及UAVSAR...
基于FDTD的高保真SAR回波信号仿真方法
合成孔径雷达 回波仿真 时域有限差分方法 高保真
2017/12/21
针对传统合成孔径雷达(synthetic aperture radar, SAR)回波仿真算法忽略目标散射特性在观测时间内随方位角度和信号频率变化这一问题,提出一种基于时域有限差分方法(finite--difference time-domain method, FDTD)电磁散射计算的SAR原始回波数据生成方法,在此基础上提出了基于服务器的并行仿真策略及流程。该方法利用FDTD算法及后续仿真处理...
由于分辨精度有限以及易受目标能量强弱的影响,基于Fast Fourier Transform(FFT)的算法不能对位于同一距离单元的密集强弱目标进行有效的速度估计.基于此,本文采用基于协方差矩阵迭代自适应(Iterative Adaptive Algorithm,IAA)的改进Capon(Modified Capon,MCapon)算法对密集强弱目标速度参数进行高分辨估计.该方法首先采用Keyst...
Wavelet analysis of the LF radio signals collected by the European VLF/LF network from July 2009 to April 2011
Radio Network Wavelet precursors
2015/8/24
In 2008, a radio receiver that works in very low frequency (VLF; 20-60 kHz) and LF (150-300 kHz) bands was developed by an Italian factory. The receiver can monitor 10 frequencies distributed in these...
Application of empirical mode decomposition to very low frequency signals for identification of seismic-ionospheric precursor phenomena
Earthquake Precursor Phenomena Empirical Mode Decomposition
2015/8/24
This study investigates the application of empirical mode decomposition to signals from very low frequency transmitters in Europe that were received in Thessaloniki, Greece, to provide a method for de...
Stable Recovery of Sparse Overcomplete Representations in the Presence of Noise
Sparse representation Overcomplete Representation
2015/8/21
Overcomplete representations are attracting interest in signal processing theory, particularly due
to their potential to generate sparse representations of signals. However, in general, the problem o...
On the Sum Capacity of A Class of Cyclically Symmetric Deterministic Interference Channels
Sum Capacity Class Cyclically Symmetric Deterministic Interference Channels
2015/8/17
Certain deterministic interference channels have been shown to accurately model Gaussian interference channels in the asymptotic low-noise regime.
Optimal Scheduling of Capture Times in a Multiple Capture Imaging System
Signal-to-Noise Ratio(SNR) Dynamic Range(DR) multiple capture high speed imaging image sensor
2015/8/17
Several papers have discussed the idea of extending image sensor dynamic range by capturing several images during a normal exposure time. Most of these papers assume that the images are captured accor...
How Small Should Pixel Size Be?
Signal-to-Noise Ratio(SNR) Dynamic Range(DR) Modulation Transfer Function(MTF)
2015/8/17
Pixel design is a key part of image sensor design. After deciding on pixel architecture, a fundamental tradeoff is made to select pixel size. A small pixel size is desirable because it results in a sm...
Connections between semi-infinite and semidefinite programming
Optimization semi-infinite programming applications systems controls signal processing computational geometry and statistics
2015/8/11
Some interesting semi-infinite optimization problems can be reduced to semidefinite optimization problems, and hence solved efficiently using recent interior-point methods. In this paper we discuss se...
An interior point method for large-scale l1-regularized least squares
Sparse signal the compressed sensing signal processing statistics least squares procedure
2015/8/10
Recently, a lot of attention has been paid to l1 regularization based methods for sparse signal reconstruction (e.g., basis pursuit denoising and compressed sensing) and feature selection (e.g., the L...
Compressed sensing with quantized measurements
Signals gaussian noise interval value differentiable convex function
2015/8/7
We consider the problem of estimating a sparse signal from a set of quantized, Gaussian noise corrupted measurements, where each measurement corresponds to an interval of values. We give two methods f...
Real-time convex optimization in signal processing
Convex optimization signal processing coefficient of algorithm filtering array design
2015/8/7
Convex optimization has been used in signal processing for a long time, to choose coefficients for use in fast (linear) algorithms, such as in filter or array design; more recently, it has been used t...
Decision noise:An explanation for observed violations of signal detection theory
Decision noise observed violations signal detection theory
2015/7/28
In signal detection theory (SDT), responses are governed by perceptual noise and a flexible decision criterion. Recent criticisms of SDT (see, eg, Balakrishnan, 1999) have identified violations of its...