Flight Testing Radar Detection of the Saab 105 in Level Flight

Norsell, Martin

doi:10.2514/2.3013

Cited by 4 publications

(4 citation statements)

References 11 publications

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“…Together with Eqs. (1)(2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17) this results in the following system of equations:…”

Section: Constant Altitude Modelmentioning

confidence: 98%

“…(8)(9)(10)(11)(12)(13): The following Jacobian is calculated based on the DAE system of equations described by Eqs. (14)(15)(16)(17)(18)(19)(20): …”

Section: Jacobian For the Constant Altitude Modelmentioning

confidence: 99%

“…In previous studies substantial decrease in detection time for level flight was experienced and verified in flight tests. 15,16 A more general formulation in three dimensions was developed using a continuous and differentiable RCS representation. 17 Similar work has been performed by Misovec et al 18 This method works well for relatively short total flight distances, that is, in the 50-100 km range.…”

Section: Introductionmentioning

confidence: 99%

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Multistage Trajectory Optimization with Radar Range Constraints

Norsell

2005

Journal of Aircraft

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The problem of finding an optimal aircraft trajectory for long-distance flights in three dimensions subject to radar detection constraints is considered. A general point-mass model previously developed is not suitable because the time discretization needs to be very fine to resolve the rigid-body dynamics resulting in very large optimization problems. Different reduced mathematical models are derived and compared to the more general performance model. Finally, a long-range mission involving two subsonic jet trainers approaching a radar target is numerically simulated. The results indicate that the time a hostile radar has an approaching aircraft under surveillance can be greatly reduced by using the proposed methodology.

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“…Together with Eqs. (1)(2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17) this results in the following system of equations:…”

Section: Constant Altitude Modelmentioning

confidence: 98%

“…(8)(9)(10)(11)(12)(13): The following Jacobian is calculated based on the DAE system of equations described by Eqs. (14)(15)(16)(17)(18)(19)(20): …”

Section: Jacobian For the Constant Altitude Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Multistage Trajectory Optimization with Radar Range Constraints

Norsell

2005

Journal of Aircraft

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“…(2) that can be influenced by the aircraft operator. The ability to reduce the detection distance by choosing a more beneficial approach trajectory [21] is omitted if conventional Swerling or other purely statistical targets models are used. Examples of radar simulators are described in [22,23].…”

Section: Azmentioning

confidence: 99%

Empirical Study of Flight-Dynamic Influences on Radar Cross-Section Models

Persson

Bull

2016

Journal of Aircraft

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In this work, measurements and a method for analyzing flight-dynamic effects on radar cross-section models for aircraft are presented. Flight-dynamic effects need to be considered when designing combat aircraft and creating target models for radar simulators. The work is based on flight data from three different types of aircraft: Piper PA-28 Archer II, Boeing 737, and Saab JAS 39 Gripen. Using inertial navigation and global-positioning systems, the motions of the three aircraft are recorded in flight. From the data, aspect angles toward a radar station located in the extension of the intended flight path are generated using a simulator. It is found that the major contribution to perturbations in aspect angles is due to the rotational degrees of freedom and that bivariate normal distributions are a good candidate for approximating the uncertainty in aspect angles for all three aircraft types. It is also found that each rotational degree of freedom is close to a normal distribution but that the parameter values of the distribution vary with altitude and aircraft type. NomenclatureAz = azimuth aspect angle, deg a = major axis of confidence ellipse, deg b = minor axis of confidence ellipse, deg El = elevation aspect angle, deg E i = incident electric vector field, V∕m E s = scattered electric vector field, V∕m G = antenna gain h r = radar antenna height, m h t = target altitude, m P t = transmitted power, W R = range between radar and target, m R h = range to radar horizon, m R max = maximum detection range, m r e = effective radius of Earth, m S min = minimum detectable signal, W α = alpha risk θ = eigenvalue of Σ λ = radiation wavelength, m σ = radar cross-section, m 2 μ = mean value, deg ρ = correlation coefficient Σ = covariance matrix σ Az = azimuth standard deviation, deg σ El = elevation standard deviation, deg χ 2 2 α = upper αth percentile of chi-squared distribution with two degrees of freedom

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Radar Target Modeling Using In-Flight Radar Cross-Section Measurements

Persson

2017

Journal of Aircraft

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Flight Testing Radar Detection of the Saab 105 in Level Flight

Cited by 4 publications

References 11 publications

Multistage Trajectory Optimization with Radar Range Constraints

Multistage Trajectory Optimization with Radar Range Constraints

Empirical Study of Flight-Dynamic Influences on Radar Cross-Section Models

Radar Target Modeling Using In-Flight Radar Cross-Section Measurements

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