[논문]A Study on the Enhancement of Detection Performance of Space Situational Awareness Radar System

Choi, Eun-Jung; Lee, Jonghyun; Cho, Sungki; Moon, Hyun-Wook; Yum, Jea-Myong; Yu, Jiwoong; Park, Jang-Hyun; Jo, Jung Hyun

doi:10.5140/jass.2018.35.4.279

[국내논문] A Study on the Enhancement of Detection Performance of Space Situational Awareness Radar System 원문보기

Journal of astronomy and space sciences, v.35 no.4, 2018년, pp.279 - 286

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

Abstract ▼ AI-Helper

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.

주제어

표/그림 (11)

그림 Fig. 1. Range cell migration of high-speed space object.
그림 Fig. 2. Geometry of SSA radar and space objects.
표 Table 1. Design parameters for simulation of SSA radar system 𝑘𝑝
그림 Fig. 3. Single-pulse radar waveform before (up) and after (down) pulse compression.
그림 Fig. 4. Range migration efect of space object in range-time space data matrix.
표 Table 2. Target models for simulation
그림 Fig. 5. Signal integration of space objects without range migration.
그림 Fig. 6. Radar signal for target of RCS 0.0078 m², range-time space domain (up) and Hough space domain (down)
그림 Fig. 7. Radar signal for target of RCS 0.000707 m², range-time space domain (up) and Hough space domain (down).
그림 Fig. 8. SNR of single detection performance and the SNR required by N noncoherent integrations to obtain Pd=0.9, Pfa=1e^-6 (Richards 2014).
표 Table 3. Specifcation of SSA radar system considering 12 dB signal processing gain

AI 본문요약
AI-Helper

문제 정의

This paper describes the Hough transform algorithm and the reflection signal modeling for space objects. The improvement of the SNR in the Hough transform method is compared to that in the conventional pulse integration method without range compensation and the effect on the SSA radar system specification is described.

제안 방법

In this study, the characteristics of space objects, which are the targets of SSA, and the radar system were analyzed, and the method for improving SNR of target signal was proposed. Considering the range migration phenomenon that occurs during the detection of space objects, it was shown that the SNR could not be improved simply by using the pulse integration method.

이론/모형

In this study, we investigate the performance of the radar system that detects space objects using a target detection method based on the Hough transform. This transform is used to detect target tracks in a multidimensional data space filled with return data from the radar (Carlson et al.
Considering the range migration phenomenon that occurs during the detection of space objects, it was shown that the SNR could not be improved simply by using the pulse integration method. The Hough transform, which is a method of compensating for range migration, was applied to the problem of space object detection for a SSA radar system. Simulation results showed that the application of the transform resulted in target formation in cases where the signal was almost indiscernible and in the presence of noise for a single pulse.
To overcome the range cell migration phenomenon, the Hough transform method was applied. The simulation results are shown for the 10 cm spherical target that can be detected with only a single pulse and the 3 cm target that cannot be detected with a single pulse.

성능/효과

In this study, the characteristics of space objects, which are the targets of SSA, and the radar system were analyzed, and the method for improving SNR of target signal was proposed. Considering the range migration phenomenon that occurs during the detection of space objects, it was shown that the SNR could not be improved simply by using the pulse integration method. The Hough transform, which is a method of compensating for range migration, was applied to the problem of space object detection for a SSA radar system.
In other words, applying the signal processing method using the Hough transform can reduce the transmit–receive antenna gain of the SSA radar system up to 40 % for the same detection range
The method of improving the SNR in a range migration environment where the range cell moves with time was presented. In the simulation, the Hough transform integrating 32 pulses resulted in a signal processing gain of approximately 12 dB. In other words, applying the signal processing method using the Hough transform can reduce the transmit–receive antenna gain of the SSA radar system up to 40 % for the same detection range.
The Hough transform, which is a method of compensating for range migration, was applied to the problem of space object detection for a SSA radar system. Simulation results showed that the application of the transform resulted in target formation in cases where the signal was almost indiscernible and in the presence of noise for a single pulse.
The correlation between the number of pulses and the gain in the SNR was described. The method of improving the SNR in a range migration environment where the range cell moves with time was presented. In the simulation, the Hough transform integrating 32 pulses resulted in a signal processing gain of approximately 12 dB.
In other words, applying the signal processing method using the Hough transform can reduce the transmit–receive antenna gain of the SSA radar system up to 40 % for the same detection range. Thus, these results show that the size and cost of the SSA radar system can be effectively designed and improved. Accordingly, this gain can be used to improve the target detection performance of a SSA radar system or to reduce of the cost of further SSA radar system development.

후속연구

Thus, these results show that the size and cost of the SSA radar system can be effectively designed and improved. Accordingly, this gain can be used to improve the target detection performance of a SSA radar system or to reduce of the cost of further SSA radar system development. Furthermore, the improved detection performance of the signal processing gains can be used as a basis for a more comprehensive design of the SSA radar system.
Accordingly, this gain can be used to improve the target detection performance of a SSA radar system or to reduce of the cost of further SSA radar system development. Furthermore, the improved detection performance of the signal processing gains can be used as a basis for a more comprehensive design of the SSA radar system.

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