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基于多分量三次相位信号的机动目标ISAR成像

摘要第4-5页
Abstract第5-6页
Abbreviations第17-18页
Chapter 1 Introduction第18-40页
    1.1 Research background and significance第18-19页
    1.2 Outline of ISAR system development第19-26页
        1.2.1 Land-based ISAR imaging第19-22页
        1.2.2 Airborne ISAR system第22-23页
        1.2.3 Shipborne ISAR system第23-25页
        1.2.4 Spaceborne ISAR imaging (SISAR)第25-26页
    1.3 Review of ISAR Imaging method第26-36页
        1.3.1 Range compression第28页
        1.3.2 Motion compensation第28-34页
        1.3.3 ISAR imaging geometry and Signal model construction第34-35页
        1.3.4 ISAR image resolution第35-36页
    1.4 Main research contents of this thesis第36-38页
    1.5 Structure of the Thesis第38-40页
Chapter 2 ISAR imaging based on MDPT第40-57页
    2.1 Introduction第40-41页
    2.2 Signal model construction第41-42页
    2.3 Parameters estimation of multi-component CPS based on MDPT第42-44页
        2.3.1 The definition of DPT第42-43页
        2.3.2 Parameters estimation of multi-component CPS based on MDPT第43-44页
    2.4 Numerical examples第44-46页
    2.5 ISAR imaging algorithm based on MDPT第46-48页
    2.6 ISAR imaging results第48-56页
        2.6.1 ISAR imaging result of simulated data第48-54页
        2.6.2 ISAR imaging result of real aircraft data第54-56页
    2.7 Summary第56-57页
Chapter 3 Imaging of high-speed manoeuvering target via IPHAF algorithm .第57-74页
    3.1 Introduction第57页
    3.2 Parameters estimation of the m-CPS signal model based on IPHAF algorithm第57-61页
        3.2.1 Brief review of High-order Ambiguity Function (HAF)第57-58页
        3.2.2 Brief review of Product High-order Ambiguity Function (PHAF)第58-59页
        3.2.3 Improved-version of Product High-order Ambiguity Function (IPHAF)第59-60页
        3.2.4 Estimation of the rest parameters for m-CPS signal第60-61页
    3.3 Numerical examples第61-67页
        3.3.1 Mono-component CPS signal第62-63页
        3.3.2 Multiple CPS signals第63-66页
        3.3.3 Comparison with some existing methods第66-67页
    3.4 ISAR imaging of maneuvering target based on IPHAF algorithm第67-68页
    3.5 Experimental Results第68-73页
        3.5.1 ISAR imaging result of simulated data第69-71页
        3.5.2 ISAR imaging result of real aircraft data第71-73页
    3.6 Summary第73-74页
Chapter 4 Imaging of Target with Complicated Motion using ISAR System based on IPHAF-TVA第74-88页
    4.1 Introduction第74页
    4.2 Cubic Phase Signal model with TVA第74-75页
    4.3 Parameters estimation of m-CPS based on IPHAF-TVA algorithm第75-78页
        4.3.1 The phase parameters estimation第75-76页
        4.3.2 The amplitude estimation第76-78页
    4.4 Numerical Examples for CPS signal with TVA第78-81页
        4.4.1 One-component CPS signal with TVA第78-79页
        4.4.2 Two-component CPS signal TVA第79-81页
    4.5 ISAR imaging algorithm based on m-CPS signal model with TVA第81-83页
    4.6 Experimental Results第83-87页
        4.6.1 ISAR imaging result of simulated data第83-85页
        4.6.2 ISAR imaging result of real aircraft data第85-87页
    4.7 Summary第87-88页
Chapter 5 ISAR Imaging Algorithm Based on MCPF and Special Narrow Spectrum Filter第88-101页
    5.1 Introduction第88页
    5.2 Signal model for the ISAR received signal第88-89页
    5.3 Parameters estimation of the m-CPS signal model第89-92页
        5.3.1 The phase coefficients estimation using the MCPF technique第90-91页
        5.3.2 The estimation of the amplitude第91-92页
    5.4 ISAR imaging algorithm based on the m-CPS signal model with TVA第92-93页
    5.5 Experimental Results第93-100页
        5.5.1 Simulation of aircraft model points第93-96页
        5.5.2 Simulation of ship model points第96-98页
        5.5.3 ISAR imaging result of real aircraft data第98-100页
    5.6 Summary第100-101页
Conclusion第101-103页
References第103-114页
List of Publications第114-117页
Acknowledgements第117页

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