MMW-Radar with Invisibility Cloak

Innovation in detecting, tracking, and cueing through MMW-Radar with invisibility cloak

In this study, we aim to propose latest innovations in both structural designs, and reliable methods to boost beamforming, tracking, localizing, long range aviation, and speed manoeuvering weapons using MMW-Radar.

This study addressed you to moderate environmental effects on surveillance system performance using employing optimum frequency for Radar system operating. The specialties of Millimeter wave regime[1] lead to be an optimum frequency for Radar system operating under severe environmental circumstances.  The merits of Millimeter wave techniques embody in, (1) under optically obscuring condition including to cloud, light rain, snow, and haze, the terrestrial targets will be detected superior in Millimeter wave regime, (2) Supersonic waves, and air turbulence impress on Millimeter wave fewer, (3) the most imperative advantages of Millimeter wave regime result in miniature size[2], and high resolution[3]. These two merits will be arisen superb performance as well as few performance compromising with miniature size. For instance, the antenna of Millimeter wave Radar will be engineered in desired small size, and consequently beamwidth will be decreased through increasing frequency, (4) relative speed will be obtained with a surprising degree of accuracy in order that its Doppler shift is extensive.

Moreover, evaluation of MMW-Radar technologies for long-range detection, tracking and cueing of air targets including technologies and signal processing techniques applicable to target detection such as bi-static Air Moving Target Indication (AMTI) have been proposed in this work. The location of active radar will be disclosed through emitting transmitting signals. Hence, a passive radar, whose signals of opportunity and especially signals emitted is produced using commercial broadcasting station, has been suggested in this work to conceal its operation. Consequently, the MMW passive radar possesses highly critical of safety. Furthermore, bi-static configuration of passive radar is proposed to reach a great radar coverage without blind zones[4] at determined altitude in regular surveillance of atmospheric during battle circumstances. In addition, the performance of the proposed MMW passive radar will boosted through utilizing smart antenna.

Two preeminent innovations have been proposed in response to superior performance of the proposed smart antenna in the MMW radar, (1) innovation in detecting and tracking moving targets using Genetic Algorithms over a significant area. Beamforming techniques under various noisy and multipath interfering circumstances would be modified through employing spatial filter in the output of the array antenna. The error between the filtered information and reference information can be minimized through this strategy under mentioned circumstances. Moreover, this resilient strategy befits for tracking moving targets. However, the main lobe is steered towards the desired user or target incorrectly under more serious mentioned condition. It happens owing to Least Mean Squares (LMS), which applies for adaptive filter, starts to diverge. Hence, this study addressed you to employ Genetic Algorithms rather than LMS method to steer the main lobe of the array antenna towards target as well as to synchronize the reference information with the filtered information.

(2) improvement on tracking and localizing using Angle of Arrival Estimation Algorithms through Non-Dominated Sorting Genetic Algorithm II (NSGA-II). Direction of Arrival (DoA) algorithm refers to a technique in which both Signals-Of-Interest (SOI), and Signals-Not-Of-Interest (SNOIs) have been regularly tracked, then the weights (phases and amplitudes of signals) will be dynamically changed. Algorithms of DoA technique focus on weight updating as well as computing the array weights. High accuracy and precision in tracking and localizing will be achieved using NSGA-II. The simulation results through MATLAB tool exhibit superb localization coverage, efficient routing, and superior data reception.

We propose reflecting superposition compound eyes (RSCEs) to bolster motion-tracking in optical imaging, wide-angle field of view (FOV), minimum chromatic aberration, high sensitivity to light and superb acuity to motion, [], to obviate the need for the detection of long range cruise missile and high speed manoeuvering weapons launch as well as pattern of life monitoring of foreign infrastructure. Indeed, high resolution technology of digital imaging to detect the target using the MMW-Radar is inclusive of spatial resolution, radiant resolution, spectral resolution, and temporal resolution. Each kind of resolutions possesses their own methods which we have considered RSCEs method. Polarization is proportional to radiant resolution in which the MMW-Radar polarized is able to utilize the polarization light intensity, polarization degree, and polarization angle. In this study, we place numbers of RSCEs referred in reference [] on MMW-Radar to achieve exceptional FOV, minimum chromatic aberration, fine image quality, modest spherical aberrations, enhanced sensitivity to light, and augmented motion tracking. We need to optimize the location of each RSCEs and their intervals through the existing technology.

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Moreover, in response to innovative solutions and technologies of high priority in term of its safety, we have proposed oblate spheroidal Metasurface with modified elliptical subwavelengths in this study.

Indeed, the most imperative innovative theories of Transformation Optics are pertinent to the optical cloaking in which the light can be bent around itself.  They are two aspects of Transformation Optics, (1) Semiclassical Transformation Optics (SCTO), and (2) Full Wave Transformation Optics (FWTO). Based on the Fermat principle, the optical trajectories are minimized while light propagates in a medium. In other words, is stationary in respect to the path variations. The optical path is curved in non-uniform media. The great engineering of complex distribution of refractive indices can be resulted in the geometrical path of light in which optical path is curved in desired pattern. Metamaterials in Semiclassical Transformation Optics can be engineered to produce a distribution of refractive indices such that light waves propagate in both backward direction, when is negative, and along with curved paths.

In Metasurfaces using FWTO, the permittivity tensor, , and the magnetic permeability tensor, , would be designed through full wave transformation optics. The distribution of , and will be designed to block the light to enter a certain space, and to bend the light around a region. Therefore, an object under this circumstance can be gotten invisible or cloaked. Indeed, an invisibility cloak can extirpate the scattering fields and reconstruct all components of the transmitted light including to the polarization, amplitude, and phase such that an exciting object gets invisible.

Consequently, this work addressed you to achieve an innovation in Metasurface using oblate spheroidal skin with modified elliptical subwavelengths.

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Objectives:

  1. To determine optimum frequency Radar operating in Millimeter wave frequency regime (MMW-Radar) to be adaptive with changing weather, environmental and computing needs as well as reducing its Radar Cross Section (RCS).
  2. How to design and fabricate 3-D oblate spheroidal Metasurface as an invisibility cloak in terahertz frequencies of MMW-Radar in Millimeter wave regime.
  3. The process of manufacturing and scheming to reflecting superposition compound eyes in Millimeter Wave regime will be considered in this study. In other words, fabrication, and images of 3-D hemispherical artificial RSCE would be fulfilled using anatomical microstructures of a natural RSCE. Furthermore, the location of RSCEs, and their intervals should be optimized in configuration of MMW-Radar.
  4. Methodology for receiving beamforming in the desired direction and suppressing the interference using Non-dominated Sorting Genetic Algorithm II (NSGA-II) in the smart antenna of the MMW-Radar.  Furthermore, methodology for creating highly critical safety for the MMW-Radar.
  5. Methodology for achieving long-range detection and tracking of moving target through Genetic Algorithm (GA) in the smart antenna of MMW-Radar. A GA relies on the Darwinian principle of natural selection and evolution to optimize a solution to a given problem. Generally, each weight wi, m of the antenna array is represented by a string of bits, such that half of the bits corresponds to the real part and the other half to the imaginary part of the array weight concerned. The proposed GA stops as soon as the error falls below a convergence tolerance, and the best individual is chosen as the optimal solution.
  6. GA algorithms in terms of accuracy, convergence speed and computing cost for different simulation environments. it is considered implement the GA in real environments, in situations where the objective function change abruptly.
  7. NSGA II is an efficient method based on the support vector regression is proposed, in which the mapping among the outputs of the array and the DOAs of unknown plane waves is approximated by means of a family of support vector machines. Firstly, the patterns of all the array elements of smart antenna must be measured in a chamber when they are terminated by their own characteristic impedances. Then, the pattern of the smart antenna array can be obtained by a superposition of all these patterns with various weights. Using the optimization algorithm, the weights including amplitude and phase of each element can be optimized quickly. Using the proposed optimization algorithm (NSGA II), the weights including amplitude and phase of each element can be optimized quickly. This method has the advantages of less computation and high accuracy. The proposed method is verified by creating same error of azimuth environment by using variety of computer simulations.
  8. How to improve the slightly deterioration of reliability of the NSGA II, as the angular discrimination of the incoming signals becomes smaller in spite fact that the results remain quite satisfying.
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Methodology:

  1. Methodology of Non-dominated Sorting Genetic Algorithm II (NSGA-II) genetic algorithm was used to find out the strengths and the angular positions of the incoming signals in the azimuth plane.
  1. Methodology of Genetic Algorithms (GA) on beamforming of static uncorrelated and correlated sources, especially for moving targets on CDMA systems considering the spreading code of the signal of interest is known.  In this approach a Uniform Linear Array (ULA) suffers the incidence of K plane waves on directions θk related to the signals xk(t), where k = 1,…,K. The induced voltages on the array elements, sampled at times t = 1,…,N form a snapshot matrix, described as follow,

+

Where A=[a(Ï•1) a(Ï•2) …a(Ï•k)] is an M-K Vandermonde matrix, a(Ï•k) =[1e−jÏ•k …e−j(M−1)Ï•k]T are the M-1 steering vectors, Ï•k = 2πd.sen (θk/λ) are the electric angles corresponding to θk and nM(t) represents the additive white Gaussian noise samples on the mth element of the array. This can be written in matrix notation as:

Z=AX+N

Then, we adjust a spatial filter on the array output in order to minimize the error between a reference signal and the filtered signal. Consequently, the main beam turns to be iteratively directed towards the target signal. This strategy is particularly interesting for tracking moving targets, due to its adaptability. Genetic Algorithms have proven to be useful in global optimization tasks, like base-station planning in coverage maximization and Direction of Arrival estimation.

  1. Methodology of the step-by-step of NSGA-II algorithm shows that simple and straightforward procedure. First, a combined population Rt= PtQt is formed. The population Rt is in size of 2N. Then, the population Rt is sorted according to non-domination. All previous and current population members should be included in Rt. Now, solutions belonging to the best non-dominated set F1 are of best solutions in the combined population and must be emphasized more than any other solution in the combined population. If the size of F1 is smaller than N, choose all members of the set F1 for the new population Pt+1. The remaining members of the population Pt+1 are chosen from subsequent non-dominated fronts in the order of their ranking. Thus, solutions from the set F2 are chosen next, followed by solutions from the set F3, and so on. This procedure is continued until no more sets can be accommodated. It means that the set F1 is the last non-dominated set beyond which no other set can be accommodated. In general, the count of solutions in all sets from F1 to Fl would be larger than the population size. Indeed, Algorithm of NSGA-II procedure is expressed as follows,

Q=PtRt

F=Fast non-dominated sort (Rt)

P t+1 = Pt+1Fi

i=i+1

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Sort (Fin)

Pt+1=Pt+1 Fi

Pt+1=Pt+1 Fi [1(N-| Pt+1|)]

Qt+1=make-new-pop (Pt+1)

The verification of NSGA II results has been fulfilled through MATLAB simulation tool.

  1. Methodology of transformation optics is based on Full Wave Method in which orthogonal coordinates will be applied to obtain the dielectric material parameters, and of the media from the mapping in orthogonal coordinates. The invisibility cloaking for the wave scattering governed by the Helmholtz equation via the approach of transformation optics which is a rapidly growing scientific field with many potential applications.
  2. The methodology of the optical imaging in the RSCE, its optical performance in terms of image quality and resolving power can be best characterized by the modulation transfer function (MTF), which is a quantitative measure of the ability of a RSCE to transfer contrast from the object to the final image.

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Deliverable:

  1. The Modulation Transfer Function (MTF) curves versus different spatial frequencies of the RSCEs will be fulfilled in this study.
  2. Bistatic scattering width of a 3-D oblate spheroidal shape will be plotted through CST Studio for cloak or uncloak skin at incident angles and when observation angles change from to .
  3. Scattering Matrix which is inclusive of and will be gained in terms of frequencies.   Then, in accordance with resonant frequencies in each S-parameter, 3-D radiation pattern of Metasurface skin at incident angles and will be plotted using CST Studio.
  4. Radar Cross Section of Metasurface skin versus frequencies for TM-polarized plane wave at will be drawn through CST Studio.
  5. To assess the beamforming performance of the GA, we measured the output Signal to Interference Ratio (SIR) of both algorithms during the tracking of the target source. In order to assess the performance of GA in tracking moving targets, we have fulfilled some pre-simulations using MATLAB tool including to consider on beamforming performance of GA, accuracy of GA in filtering out the target from the interfering sources, beamforming efficiency for tracking a moving target among multiple moving interfering sources. In addition to, Rastrigin function has been investigated using MATLAB simulation to consider the characteristics of GA.
  6. Beamplot for various values of number array elements N and spacing d considering different algorithms have been obtained using MATLAB simulation for NSGA II. Beamplot depicts how algorithm places adaptively the maxima in the direction of desired user and nulls at AoA of the interferer. Moreover, NSGA II algorithm delivers AoA at a time for various values of N and d.
  7. In environmental of NSGA II will achieve maximum coverage and maximum connectivity while minimizing the network energy cost. The weight of antenna arrays can be adjusted to form adaptive beam to track corresponding users automatically by using NSGA II. At the same time to minimize interference due to other users, by introducing nulls in the directions of unwanted user.  Technique NSGA-II is quite successful, reliable and efficient. Consequently, the energy has been obtained using MATLB simulation in the environment of NSGA II.
  8. In the proposed RSCE, the computation of MTF generally involves Fourier transform of the point spread function (PSF). The simulation will be performed using Fast Fourier Transform (FFT) technique with the sampling rate of 4096 – 4096. Simulated intensity distribution of the PSF in both X and Y axes in space as well as the simulated plot of MTF versus spatial frequency (cycles per mm) will be fulfilled in this study.

[1] Electromagnetic radiation in the range of wavelengths from 1 cm to 1 mm is characterized as millimeter-wave (MMW) radiation, while the range extending from 1 mm to 0.3 mm is called sub-millimeter wave (sub-MMW or sub-mm), and that of shorter wavelengths extending to the infrared is terahertz (THz) radiation.

[2] Miniature size refers to a merit in which physically resonant structures such as antennas, waveguides, cavities, etc. are minimal.

[3] High resolution results from the short wavelengths.

[4] A blind zone refers to a zone between emitter and radar receiver.

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