I. INTRODUCTION

II. THE BASIC PRINCIPLES OF TYPICAL MACHINE LEARNING ALGORITHMS

III. RADAR RADIATION SOURCES CLASSIFICATION AND RECOGNITION

IV. RADAR IMAGES PROCESSING

V. ANTI-JAMMING AND INTERFERENCE MITIGATION

VI. OTHER ML-BASED RSP-RELATED RESEARCH

VII. DISCUSSION AND FUTURE PROMISING TRENDS

VIII. CONCLUSION