Radar sensors are used for space situational awareness (SSA) to determine collision risk and detect re-entry of space objects. The capability of SSA radar system includes radar sensitivity such as the detectable radar cross-section as a function of range and tracking capability to indicate tracking time and measurement errors. The time duration of the target staying in a range cell is short; therefore, the signal-to-noise ratio cannot be improved through the pulse integration method used in pulse-Doppler signal processing. In this study, a method of improving the signal-to-noise ratio during range migration is presented. The improved detection performance from signal processing gains realized in this study can be used as a basis for comprehensively designing an SSA radar system.

1. INTRODUCTION
 2. SIGNAL MODELING
  2. 1 Hough Transform Algorithm
  2. 2 Reflection Signal Modeling for Space Objects
 3. SIMULATION RESULTS
  3. 1 Signal Processing Simulation Results for the Target Reflection Signal
  3. 2 Improvement of Target Detection Performance byHough Transform
 4. CONCLUSION
 REFERENCES

• Eun-Jung Choi(Korea Astronomy and Space Science Institute) Corresponding Author
• Jonghyun Lee(RFCore Co., Ltd.)
• Sungki Cho(Korea Astronomy and Space Science Institute)
• Hyun-Wook Moon(LIGNex1)
• Jea-Myong Yum(LIGNex1)
• Jiwoong Yu(Korea Astronomy and Space Science Institute)
• Jang-Hyun Park(Korea Astronomy and Space Science Institute)
• Jung Hyun Jo(Korea Astronomy and Space Science Institute)