﻿ Radar Cross Section Analysis Using Physical Optics and Its Applications to Marine Targets

Journal of Applied Mathematics and Physics
Vol.03 No.02(2015), Article ID:53669,6 pages
10.4236/jamp.2015.32026

Radar Cross Section Analysis Using Physical Optics and Its Applications to Marine Targets

Joon-Tae Hwang1*, Suk-Yoon Hong1, Jee-Hun Song2, Hyun-Wung Kwon3

1Department of Naval Architecture and Ocean Engineering, Seoul National University, Seoul, Republic of Korea

2Department of Naval Architecture and Ocean Engineering, Chonnam National University, Yeosu, Republic of Korea

3Department of Naval Architecture and Ocean Engineering, Kojecollege, Koje, Republic of Korea

ABSTRACT

Radar Cross Section (RCS) is one of the most considerable parameters for ship stealth design. As modern ships are larger than their predecessors, RCS must be managed at each design stage for its reduction. For predicting RCS of ship, Radar Cross Section Analysis Program (RACSAN) based on Kirchhoff approximation in high frequency range has been developed. This program can present RCS including multi-bounce effect in exterior and interior structure by combination of geometric optics (GO) and physical optics (PO) methods, coating effect by using Fresnel reflection coefficient, and response time pattern for detected target. In this paper, RCS calculations of ship model with above effects are simulated by using this developed program and RCS results are discussed.

Keywords:

Radar Cross Section (RCS), Kirchhoff Approximation, Multi-Bounce Effect, Response Time Pattern

1. Introduction

The Radar Cross Section (RCS) is concerned with active detection and is an important parameter in stealth design. RCS characteristics are determined by the intrinsic geometric shape. Because modern ships are larger than their predecessors, RCS must be controlled at each design stage for its reduction.

The RCS of simple shaped objects such as a finite plate, a cylinder, and a sphere etc. is represented analytically in [1]. For more complex shaped targets, numerical calculations were needed. The boundary element method (BEM) [2] and finite element method (FEM) [3] were used at low frequency. These methods give accurate results but require a long computer running time. At high frequency, methods such as physical optics (PO) [4], geometric optics (GO) [5], physical theory of diffraction [6] and geometric theory of diffraction [7] provide relatively quick solutions. At present, most numerical calculations of RCS for a target such as a ship at high frequency are based on Kirchhoff approximation [8]. For prediction for RCS of a ship in high frequency range, Radar Cross Section Analysis Program (RACSAN) based on Kirchhoff approximation in PO has been developed.

In this paper, RCS for a ship model is numerically simulated by using this program. Various effects, which are multi-bounce effect in exterior and interior structure by combination of GO and PO methods, coating effect by using Fresnel reflection coefficient, and response time pattern for detected target are considered.

2. Theory

2.1. Physical Optics

The high frequency prediction method assumes that each part of the target scatters energy independently from all other parts, the total energy scattered in the far field is obtained by integrating energy scattered by each part. Therefore, the total RCS of a complex target can be composed of a number of segments, and can be obtained by the summation of the RCS of each segment. The root of the total RCS is estimated by the coherent summation of the RCS of each segment to consider phase information as follows:

(1)

where is the root of the total RCS, is the number of the segment and is the root of the RCS

of each segment. The root of the RCS for a polygonal plate can be expressed by the so-called Kirchhoff approximation as follows [9] [10],

(2)

where is the wave number, is the polarization vector, is the position vector of an origin on or near the plate, is, is a unit vector along the incident wave, is a unit vector along the reflected wave, is a vector describing the length and orientation of the mth edge of the plate, is the position vector of the midpoint of the th edge, is the length of the projection of onto the plane of the plate,

is, is the unit normal of the illuminated plate surface, is the number of plate edges, and is.

can be expressed as follows [11]:

(3)

2.2. Effect on the Surface Property

Referring to Figure 1. Consider the PO solution for a multilayered facet. The interaction of an incident electromagnetic field with a non-perfectly conducting multilayered facet can be described by Fresnel’s reflection coef-

Figure 1. Geometry of multilayered facet.

ficients and at the surface of the facet. If the complex material constants of the different layers are known, the reflection coefficient at the surface of the facet is given by [12]

(4)

(5)

where and satisfy the following recurrence relations

(6)

(7)

, and and are input impedances of the nth layer for H-polarization and E-pola-

rization, respectively. The Nth layer is assumed to be semi-infinite long, and the input impedances of the Nth layer is given by

(8)

The impedance of the nth layer is

(9)

2.3. Multi-Bounce Effect in Exterior and Interior Structure

For considering multi-bounce effect in exterior and interior structure, combination of GO and PO methods is used [9]. GO is used for finding reflected or transmitted paths. PO is applied at last bounce time. Effect area is obtained as shown in Figure 2. A path of transmitted wave into interior structure is calculated by using Snell’s law.

3. Numerical RCS Analysis

RCS computation is performed for a type of warship. Model which has a curvature is divided into many flat plates. RCS of each flat plate is evaluated using Equation (2).

A Type of Warship

A warship model for RCS calculation is shown in Figure 3. The overall length, width and draft of the warship are 000 m, 00 m and 0 m, respectively which are blind in the security classification. The mesh model is composed of 4675 nodes and 4065 elements as shown Figure 3.

(a) (b)

Figure 2. Concept of multi-bounce: (a) multi-bounce paths and (b) effective area.

The range of the incident angle is as shown in Figure 3. When the interval of the incident angle is. The distance from the center of the model is 20 km for the far field condition. The analysis frequency is 4 Ghz and the wave velocity is.

At first, the RCS results of the contribution of the incident angle are shown in Figure 4.

The RCS results of the warship model with the elevation angle are shown in Figure 5.

The RCS of the warship model with electronic coating on its surfaces is then analyzed. Electronic coating is applied as shown in Figure 6.

The RCS results with electronic coatings are shown in Figure 7.

Figure 3. Analysis model and range.

Figure 4. The RCS results of the contribution of the incident angle.

(a) (b) (c)(d) (e) (f)

Figure 5. RCS results with the elevation angle: (a): 13.46 dB; (b): 15.71 dB; (c): 19.50 dB; (d): 21.23 dB; (e): 34.06 dB; (f): 37.37 dB.

Figure 6. Electronic coating applied on a warship surface: (a) case 1; (b) case 2.

(a) (b)

Figure 7. RCS results with electronic coating applied: (a) case 1; (b) case 2.

4. Conclusion

To predict RCS of ship at design stage, RACSAN software is developed. This program is based on Kirchhoff approximation in PO as high frequency method. The RCS of ship model is numerically simulated by using this program. Various effects, which are multi-bounce effect in exterior and interior structure by combination of GO and PO methods, electronic coating effect by using reflection coefficient, and response time pattern for detected target are considered. It is expected that RCS of ship can be continuously managed by simulation when ship shape is changed at design stage and controlled by predicting electronic coating effects applied on specific parts by using this program.

Cite this paper

Joon-Tae Hwang,Suk-Yoon Hong,Jee-Hun Song,Hyun-Wung Kwon, (2015) Radar Cross Section Analysis Using Physical Optics and Its Applications to Marine Targets. Journal of Applied Mathematics and Physics,03,166-171. doi: 10.4236/jamp.2015.32026

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NOTES

*Corresponding author.