THE JOURNAL OF KOREAN INSTITUTE OF ELECTROMAGNETIC ENGINEERING AND SCIENCE. 2013 DEC.; 24(12), 1190 1197. http://dx.doi.org/10.5515/kjkiees.2013.24.12.1190 ISSN 1226-3133 (Print) ISSN 2288-226X (Online) Design and Implementation of Radar Resource Management Algorithms for Airborne AESA Radar 노지은 전상미 안창수 장성훈 Ji-Eun Roh Sang-Mi Chon* Chang-Soo Ahn Seong-Hoon Jang 요약 (AESA radar: Active Electronically Scanned Array radar).,,,.,.,. Abstract AESA(Active Electronically Scanned Array radar) radar is able to instantaneously and adaptively position and control the beam, and such adaptive beam pointing of AESA radar enables to remarkably improve the multi-mission capability. For this reason, radar resource management(rrm) becomes new challenging issue. RRM is a technique efficiently allocating finite resources, such as energy and time to each task in an optimal and intelligent way. This paper deals with a design of radar resource management algorithms and simulator implemented main algorithms for development of airborne AESA radar. In addition, evaluation results show that developed radar system satisfies a main requirement about simultaneous multiple target tracking and detection by adopting proposed algorithms. Key words : Radar Resource Management, Airborne AESA Radar, Simulator. 서론, (RRM: Radar Resource Management) [1]., (AESA radar: Active Electronically Scanned Array radar), (Agency for Defense Development) *LIG (LIG NEX1) Manuscript received September 27, 2013 ; Revised November 11, 2013 ; Accepted November 12, 2013. (ID No. 20130927-086) Corresponding Author : Ji-Eun Roh (e-mail : jeroh@add.re.kr) 1190 c Copyright The Korean Institute of Electromagnetic Engineering and Science. All Rights Reserved.
.,,,. [1],,,,.,, (ANN, Fuzzy), (HMM) (MDP), QoS(Quality of Service) Q-RAM.,.,. -, - - -, - -.,,.. 주요자원관리알고리즘설계 2-1 탐지영역및탐지빔패턴설정,,,,., ACM, Spotlight Search, Cued Search,.,,,. 5 0.8 4., (bar), 5 4. 1 (i, j) (, ). Az_Center, El_Center:, Az_Range: NumBar: dx, dy:, - (i, j) Φ i, j = Az_Center Az_Range/2 + (i 1)*dx, where j is odd 그림 1. Fig. 1. Construction of beam pattern. 1191
THE JOURNAL OF KOREAN INSTITUTE OF ELECTROMAGNETIC ENGINEERING AND SCIENCE. vol. 24, no. 12, DEC. 2013. Φ i, j = Az_Center Az_Range/2 + (i 0.5)*dx, where j is even i = 1, Nx, where Nx = floor(az_range/dx) - (i, j) Θ i,j = El_Center (NumBar 1)/2 *dy + (j 1)*dy j = 1, NumBar, where NumBar is odd Θ i,j = El_Center (NumBar)/2 *dy + (j 0.5)*dy j = 1, NumBar, where NumBar is even 2-2 표적자동추적변환및빔운용방안,. (S, Search) (C, Confirm) (TI, Track Init) (T, Track) Tentative track,.. Reserved track,. 2, 2.,,, Confirmed track. Memory track,, Confirmed track. 2. 그림 2. Fig. 2. Strategy of beam operation from detection to track... Reserved track Reserved track,. 2-4. 2-3 빔스케줄링,,. (ERF: Earliest Request First), (HPF: High Priority First).,.,. 1192
그림 3. Fig. 3. Fuzzy value according to range. 2-4 표적우선순위선정,.,. (Fuzzy logic),. CLOSE, MEDIUM, FAR 3. (FR), (FV), (FD). Priority CLOSE = W1*FR + W2*FV + W3*FD Priority MEDIUM = W1*FR + W2*FV + W3*FD Priority FAR = W1* FR + W2*FV + W3*FD Priority TOTAL = (CLOSE*PriorityCLOSE + MEDIUM *PriorityMEDIUM + FAR*PriorityFAR) / (CLOSE + MEDIUM + FAR), W1, W2, W3 (CLOSE, MEDI- UM, FAR). 그림 4. FR Fig. 4. Fuzzy value according to FR. 그림 5. FV Fig. 5. Fuzzy value according to FV., CLOSE, MEDIUM, FAR 3. 4 FR, 5 FV, 6 FD. 7. (1) R=60 km, Az= 30, El=0, (2) R=90 km, Az=20, El=0, (0.766, 0.6428, 0), ( 0.4226, 0.9063, 0), 600 m/s, 900 m/s 0 100. 1193
THE JOURNAL OF KOREAN INSTITUTE OF ELECTROMAGNETIC ENGINEERING AND SCIENCE. vol. 24, no. 12, DEC. 2013. 65 2 1 2 1. 2-5 표적특성에따른추적주기설정 그림 6. FD Fig. 6. Fuzzy value according to FD..,. IMM [2]. [2] (T(k)) (e(k) : ),. 4 T ( k) =, p 2 c 4 p < e ( k) < c 4 s p+ 1 c, p. p = ë log 4 es ( k) û IMM positional residual. r å j e( k) = m ( k) j= 1 j 2 ( x ( k) - x ( k)) m + ( y m ( k) - y j ( k)) 2 그림 7. Fig. 7. The change of target priority according to given scenario. 7,.,. 1 2 70 2.,. 자원관리시뮬레이터구성,. 8,,,. 9 GUI. COMMAND, (,,, RCS ). 1194
그림 8. Fig. 8. Structure of RRM simulator. 그림 10. Fig. 10. GUI for analysis of simulation result.. GUI VIEW_ RESULT 10. 그림 9. GUI Fig. 9. Main GUI of RRM simulator. START,, -, -., / / /., SNR, 85 % SNR.,,.,., - : / / - : - / : - : - :. 알고리즘구현및결과분석 3 ( ) /. 11. 12, 20 2 19 200 m/s. 2 400 m/s,. 200 m/s. 13 1195
THE JOURNAL OF KOREAN INSTITUTE OF ELECTROMAGNETIC ENGINEERING AND SCIENCE. vol. 24, no. 12, DEC. 2013. 그림 11. Fig. 11. Environment of radar integration test. (x y : 10 4 m) 그림 14. Fig. 14. Log of target detection and tracking result. 그림 12. Fig. 12. Test scenario., 20., 14, 2 43 km 1 1, 2. 1 2 4,.,.. 결론 그림 13. MFD Fig. 13. Display of target detection and tracking on MFD. ( ) 10. 14,.,.,,. 1196
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