An Algorithm for Obtaining Interception Guidance Routes Weighted by Threat Indexes

doi:10.16182/j.issn1004731x.joss.22-0004

Abstract

Abstract:

Interception guidance and threat assessment are two inseparable parts of command and control. The former implements specific command and guidance through guidance solutions, and the latter provides basis for threat assessment and situation advantage to command and control. Taking threat indexes as the weight, a kind of optimal interception route index is proposed to obtain the guidance solution with the least threat. Simulation results show that the proposed algorithm can effectively provide routing solutions for interception with the least threat, and is reliable under different situations, or with different weights of threat indexes. The algorithm provides a new idea for obtaining route solutions in the field of command and guidance.

Key words: command and control, command and guidance, guidance solution, threat assessment, threat index

CLC Number:

V249

Shuyuan Liu. An Algorithm for Obtaining Interception Guidance Routes Weighted by Threat Indexes[J]. Journal of System Simulation, 2023, 35(5): 971-978.

Figures/Tables 8

Fig. 1

Fig. 2

Fig. 3

Table 1

Guidance solutions

参数	数值	参数	数值
$θ o$ /(°)	61	\| $w 1 w 2 ⃗$ \|/km	212
(n₁， n₂)	(-1， -1)	I( $θ o$ )/km	46
(φ₁， φ₂)/(°)	(65， 24)	L/km	277

Table 1

Table 2

Table 3

Guidance solutions under different situations

θ_o/(°)	(n₁， n₂)	(φ₁， φ₂)/(°)	\| $w 1 w 2 ⃗$ \|/km	I(θ_o)/km	L/km
21	(-1， 1)	(10， 29)	360	59	401
66	(1， -1)	(29， 23)	221	46	269
174	(-1， 1)	(35， 1)	42	22	83
52	(-1， -1)	(184， 44)	72	46	202
111	(-1， -1)	(153， 16)	129	37	231

Table 3

Table 4

Guidance solutions with different weights of threat indexes

(α_a， α_d， α_v)	θ_o/(°)	(n₁, n₂)	(φ₁, φ₂)/(°)	\| $w 1 w 2 ⃗$ \|/km	I(θ_o)/km	L/km
(0.2， 0.6， 0.2)	68	(-1， -1)	(67， 15)	212	38	273
(0.6， 0.2， 0.2)	56	(-1, -1)	(64, 30)	214	58	281

Table 4

Table 5

Guidance solutions with different parameters of distance threat

(d_R， d_M， d_KMax)/km	θ_o/(°)	(n₁， n₂)	(φ₁， φ₂)/(°)	\| $w 1 w 2 ⃗$ \|/km	I(θ_o)/km	L/km
(140， 90， 60)	56	(-1， -1)	(64， 30)	214	48	281
(100， 70， 40)	64	(-1， -1)	(66， 20)	212	44	275

Table 5

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态势	M₀=(x， y) km	v_m/(km/h)	K_m/(°)
1	(200， 250)	960	120
2	(250， -250)	1 000	20
3	(150， 150)	1 200	220
4	(-250， 250)	2 200	160
5	(-250， 200)	700	160

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