Research on the Selection of False Targets of Natural Objects in Laser Angle Deception Jamming

Jian-lu HUANG; Tao SHEN; Yang YANG; Bo-xiong FAN

doi:10.3964/j.issn.1000-0593(2022)09-2963-06

Journals >Spectroscopy and Spectral Analysis >Volume 42 >Issue 9 >Page 2963 > Article

Spectroscopy and Spectral Analysis
Vol. 42, Issue 9, 2963 (2022)

Research on the Selection of False Targets of Natural Objects in Laser Angle Deception Jamming

Jian-lu HUANG^*, Tao SHEN^{1; *;}, Yang YANG^1;, and Bo-xiong FAN^1;

Author Affiliations

1. Rocket Force University of Engineering, Xi’an 710025, China;

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DOI: 10.3964/j.issn.1000-0593(2022)09-2963-06 Cite this Article

Jian-lu HUANG, Tao SHEN, Yang YANG, Bo-xiong FAN. Research on the Selection of False Targets of Natural Objects in Laser Angle Deception Jamming[J]. Spectroscopy and Spectral Analysis, 2022, 42(9): 2963 Copy Citation Text

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Fig. 1. Relative position of natural features, seeker and laser and relation of angle

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Fig. 2. 3D diagram (a) and top view (b) of interference energy distribution of sand and gravel false targets

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Fig. 3. 3D diagram (a) and top view (b) of interference energy distribution of construction false targets

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Fig. 4. Relationship between terrain inclination and threat angle

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Fig. 5. Fitting result graph

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Types of objects	Sand and gravel	Construction
k_b	0.156 5	0.088 22
k_r	0.293 0	0.325 0
k_d	0.105 4	0.048 62
a	1.453	1.760
b	-37.52	-16.92

Table 1. Parameters of BRDF model

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θ/(°)	θ_d/(°)	θ/(°)	θ_d/(°)	θ/(°)	θ_d/(°)
0	90	35	69	68	48
3	88	38	67	71	45
6	86	41	65	74	43
9	84	44	63	77	41
12	82	47	61	80	40
15	80	50	59	83	37
18	79	53	57	85	35
22	76	55	56	87	34
25	75	59	54	90	31
28	73	62	52
32	70	65	50

Table 2. Threat Angle difference at different ground feature inclination angles

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Parameters	First-order polynomial	Second-order polynomial	Third-order polynomial	Fourth-order polynomial
Number of undetermined coefficients	2	3	4	5
Undetermined coefficient values	p₁=-0.637 6 p₂=90.46	p₁=-0.000 953 7 p₂=-0.551 p₃=89.2	p₁=-1.856×10^-5 p₂=0.001 565 p₃=-0.640 5 p₄=89.81	p₁=1.573×1 ${0^{-}}^{8}$ p₂=-2.139×10^-5 p₃=0.001 728 p₄=-0.643 6 p₅=89.82
SSE	18.51	6.463	4.074	4.073
R-square	0.998	0.999 3	0.999 6	0.999 6
RMSE	0.798 9	0.480 5	0.388 4	0.395 8

Table 3. Analysis of fitting results

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