Satellite Laser Ranging Optimization Algorithm Based on Greedy Dynamic Fusion

Star ID	Star name	Star SIC	Start	End	HM /（°）	LEN /min
8606101AJ	Ajisai	1500	1229	1239	15	10
0000000DB	Beidou3m3	0000	1210	1453	60	163
1000101G1	Compassg1	2002	1210	2225	35	615
1101301I3	Compassi3	2003	1210	1309	21	59
1107301I5	Compassi5	2005	1210	2225	71	615

Table 2. Observation task priority (partial)
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Table 2. Observation task priority (partial)
Priority Mission ILRS name COSPAR ID SIC
1 GRACE-FO-1 Gracefo1 1804701 123
1 GRACE-FO-2 Gracefo2 1804702 124
2 ICESat-2 Icesat2 1807001 6873
3 CryoSat-2 Cryosat2 1001301 8006
4 PAZ Paz 1802001 2501

Table 3. Comparison of task completion rates when three algorithms schedule different numbers of tasks

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Table 3. Comparison of task completion rates when three algorithms schedule different numbers of tasks

Algorithm	Task completion rate /%
Algorithm	Number of task is 35	Number of task is 45	Number of task is 55	Number of task is 65	Number of task is 75
GSA	91.40	88.90	87.30	85.30	84.00
DPA	95.20	95.60	92.70	92.30	90.10
DPA+GSA	99.10	98.80	97.30	96.90	96.00

Table 4. Final task scheduling plan (partial)

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Table 4. Final task scheduling plan (partial)

Star ID	Star name	Start	End
160320136	Glonass136	1210	1212
1501701203	Galileo203	1214	1216
1306702SA	Swarma	1218	1220
1101301I3	Compassi3	1222	1224
8900103E1	Etalon1	1226	1228
8606101AJ	Ajisai	1230	1232
1504502206	Galileo206	1234	1236
0000000DB	Galileo222	1238	1240
0000000DB	Geoik2	1243	1245
090700116	Glonass116	1247	1249

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Mengxue Yang, Zhulian Li, Yuqiang Li. Satellite Laser Ranging Optimization Algorithm Based on Greedy Dynamic Fusion[J]. Laser & Optoelectronics Progress, 2023, 60(7): 0728001

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