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Zhang H. Signal Processing in X-ray Pulsar-Based Navigation 2023
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This book highlights key technologies of signal processing in pulsar-based navigation. It discusses the modeling, simulation, acquisition, and correction of relativistic effects of signals from X-ray pulsars. It demonstrates the methods of contour reconstruction and denoising, and introduces the concept and methods of the average contour. The performance of the phase measurement methods using signal contour is analyzed. The role of wavelets and bispectral methods in the denoising of pulsar signals is discussed. The measurements of pulsar signals’ arriving time are looked into from the perspective of time series. The book is intended for researchers and engineers interested in pulsar-based navigation. It is also a good reference source for senior undergraduates and postgraduate students majoring in navigation and signal processing.
Preface
Brief Introduction
Introduction
Pulsar and Its Observation
Introduction to Pulsar
Radio Observation Technology
Space X-ray Detection Technology
Principles of Pulsar Navigation
Research Progress at Home and Abroad
Development of Pulsar Navigation Technology
X-ray Pulsar Navigation Research Plan
Domestic Research Foundation
Signal Processing Technology in Pulsar Navigation
Summary
Pulsar Data Acquisition and Relativistic Effect Correction
Pulsar Observation
Introduction of RXTE
Proportional Counter Array (PCA)
The High Energy X-ray Timing Experiment (HEXTE)
All Sky Monitor (ASM)
Extraction of RXTE Measured Data
Software Method to Extract Data
The Embedded Code Method Extracts the Original Data
The Analysis of RXTE Measured Data
The Effect of Light Travel Correction on Cumulative Profile
The Influence of Phase Prediction Model on Cumulative Profile
Summary
Characteristics and Model of Pulsar Signal
Introduction
Characteristics of Pulsar Signal
Periodic
Profile
Energy Spectrum
Noise
Pulsar Signal Simulation Modeling
Basic Principles
Poisson Model
Exponential Model
Gussian Model
Comparison of Models
Poisson Distribution Model
Exponential Distribution Model
Gaussian Fitting Model
Comparison of Three Models
Summary
Validation of X-ray Pulsar Simulation Signals
Introduction
Consistency Analysis of Simulated and Measured Signals
Simulation Signal Generation
Consistency Analysis of Profiles
Consistency Analysis in the Time Domain
Consistency Analysis in the Frequency Domain
Validation of X-ray Pulsar Simulation Signal Validation Under Orbital Modulation
Generation of Orbital Modulation Signals
Time Conversion Equation
Validation of the Validity of the Orbital Modulated Signal
Summary
Pulse Average Profile Accumulation Method and Phase Measurement Performance
Introduction
The Basic Concept of Profile Accumulation
Minimum Entropy Method for X-ray Pulsar Pulse Profile Accumulation
Minimum Entropy Criterion for Pulsar Profile Accumulation
Minimum Entropy Method for Pulsar Profile Accumulation and Its Proof
Determining Pulsar Period Using Minimum Entropy of Cumulative Profile
Performance Analysis of X-ray Pulsar Cumulative Profile Phase Measurement
CRLB for Phase Measurement
CRLB for Phase Rate Measurement
Experiment of Minimum Entropy Method for Pulse Profile Accumulation
Preparing Simulation Data
Entropy Analysis of the Cumulative Profile of X-ray Pulsars
Performance Analysis of Pulsar Period Determined by Minimum Entropy of Cumulative Profile
RXTE Measured Data Experiment
Performance Analysis Experiments of Cumulative Profile Phase Measurement
Summary
Pulsar Signal Denoising
Introduction
Common Denoising Methods
Classical Filter Denoising Method
Wavelet Transform Denoising Method
Dual-Spectral Domain Denoising Method
Evaluation of Denoising Effect
Wavelet-Based Denoising Method
A General Method of Wavelet Domain Denoising
A Method Based on Wavelet Threshold Denoising
Improved Wavelet Airspace Correlation Filtering Algorithm
Pulsar Signal Denoising Based on Wavelet Domain Derivable Threshold Function and Adaptive Threshold
Denoising Method Based on Bispectral Domain
Signal Reconstruction Based on Bispectrum
Bispectral Domain Denoising Method Based on α—Trimmed Filter
Signal Bispectral Domain Denoising Based on Non-local Means Algorithm
Comparison of Experimental Results Between Two Signal Bispectral Domain Denoising Methods
Other Methods
Discrete Square Wave Transformation (DSWT)
Based on the Idea of Singular Value Decomposition
Summary
Pulsar Signal Detection
Introduction
Time Domain Pulsar Signal Detection Method
Periodogram Method
Bayesian Estimation Method
Photon Arrival Time Interval Method
Frequency Domain Pulsar Signal Detection and Its Improvement Method
FFT Method
Bispectrum Method
(/)-Dimension Spectrum Method
Time Frequency Domain Pulsar Signal Detection
Constant False Alarm Rate Detection Method Based on S-transform
Constant False Alarm Rate Detection Method Based on Time-Frequency Entropy
Summary
Measurement of Arrival Time of Pulsar Signals
Introduction
Maximum Likelihood-Based Arrival Time Measurement Method
Poisson Model of X-ray Pulsar Signals
Fitting X-ray Pulsar Profiles with Multiple Gaussians
Phase Estimation Based on the GFSAP Model
Contour-Based Arrival Time Measurement Method
Classical Method of Arrival Time Measurement Based on Profile
Measurement of Time Delay in Pulse Contour of Third Order Cross Wavelet Cumulants
Cumulative Contour Phase Measurement Based on Minimum Entropy
Arrival Time Measurement Method Based on Photon Sequence
Phase Measurement Based on Photon Counting
Phase Measurement Based on Photon Arrival Time
Phase Measurement Based on Photon Arrival Time Interval
Phase Measurement of Photon Sequences Using Fast Fourier Transform
Summary
Bibliography

Zhang H. Signal Processing in X-ray Pulsar-Based Navigation 2023.pdf7.78 MiB