MATLAB Examples

Figure 24. Example Scenario: Tapered Fully adaptive STAP.

(a) Adapted pattern. (b) Principal cuts at target azimuth and Doppler.

Contents

```clc; clear; close all; ```

```fo = 450e6; % Operating Frequency in Hz Pt = 200e3; % Peak Transmit Power 200 kW Gt = 22; % Transmit Gain in dB Gr = 10; % Column Receive Gain in dB B = 4e6; % Receiver Instantaneous Bandwidth in Hz Ls = 4; % System Losses in dB fr = 300; % PRF in Hz Tr = 1/fr; % PRI in sec. M = 18; % Number of Pulses per CPI. Tp = 200e-6; % Pulse Width in sec. N = 18; % Number of Array Antenna Elements Gel = 4; % Element Gain in dB be = -30; % Element Backlobe Level in db Nc = 360; % Number of clutter patches uniformly distributed in azimuth. c = 299792458; % Speed of Light in m/sec. lambda = c/fo; % Operating wavelength in meters. d = lambda/2; % Interelement Spacing % Azimuth angle in degrees: phi = -180:179; Lphi = length(phi); f = zeros(1,Lphi); AF = zeros(1,Lphi); % Array Factor pre-allocation. % Platform Parameters: beta = 1; % beta parameter. ha = 9e3; % Platform altitude in meters. ```

Thermal Noise Power Computations

```k = 1.3806488e-23; % Boltzmann Constant in J/K. To = 290; % Standard room Temperature in Kelvin. F = 3; % Receiver Noise Figure in dB; Te = To*(10^(F/10)-1); % Effective Receiver Temperature in Kelvin. Lr = 2.68; % System Losses on receive in dB. Ts = 10^(Lr/10)*Te; % Reception System Noise Temperature in Kelvin. Nn = k*Ts; % Receiver Noise PSD in Watts/Hz. Pn = Nn*B; % Receiver Noise Power in Watts sigma2 = 1; % Normalized Noise Power in Watts. ```

Clutter Patch Geometry computations

```Rcik = 130000; % (clutter) range of interest in meters. dphi = 2*pi/Nc; % Azimuth angle increment in rad. dR = c/2/B; % Radar Range Resolution in meters. Re = 6370000; % Earth Radius in meters. ae = 4/3*Re; % Effective Earth Radius in meters. psi = asin(ha/Rcik); % Grazing angle at the clutter patch in rad (flat earth model). theta = psi; % Elevation (look-down angle) in rad. Flat earth assumption. gamma = 10^(-3/10); % Terrain-dependent reflectivity factor. phia = 0; % Velocity Misalignment angle in degrees. ```

Clutter-to-Noise Ratio (CNR) Calculation

Calculate the Voltage Element Pattern:

```for i =1:Lphi if abs(phi(i))<=90 f(i) = cos(phi(i)*pi/180); else f(i) = 10^(be/10)*cos(phi(i)*pi/180); end end % Calculate the Array Factor (AF) (Voltage): steering_angle = 0; % Angle of beam steering in degrees. for k=1:Lphi AF(k) = sum(exp(-1i*2*pi/lambda*d*(0:N-1)*(sin(phi(k)*pi/180) ... - sin(steering_angle*pi/180)))); end % Calculate the Full Array Transmit Power Gain: Gtgain = 10^(Gt/10)*abs(AF).^2; % Calculate the Element Receive Power Gain: grgain = 10^(Gel/10)*abs(f).^2; % Clutter Patch RCS Calculation: PatchArea = Rcik*dphi*dR*sec(psi); sigma0 = gamma*sin(psi); sigma = sigma0*PatchArea; % Calculate the Clutter to Noise Ratio (CNR) for each clutter patch: ksi = Pt*Gtgain.*grgain*10^(Gr/10)*lambda^2*sigma/((4*pi)^3*Pn*10^(Ls/10)*Rcik^4); Ksic = sigma2*diag(ksi); ```

Clutter Covariance Matrix Computations

```% Platform Velocity for beta parameter value: va = round(beta*d*fr/2); Ita = d/lambda*cos(theta); % Calculate Spatial and Doppler Frequencies for k-th clutter patch. % Spatial frequency of the k-th clutter patch: fsp = Ita*sin(phi*pi/180); % Normalized Doppler Frequency of the k-th clutter patch: omegac = beta*Ita*sin(phi*pi/180 + phia*pi/180); % Clutter Steering Vector Pre-allocation: a = zeros(N,Nc); b = zeros(M,Nc); Vc = zeros(M*N,Nc); for k=1:Nc a(:,k) = exp(1i*2*pi*fsp(k)*(0:N-1)); % Spatial Steering Vector. b(:,k) = exp(1i*2*pi*omegac(k)*(0:M-1)); % Temporal Steering Vector Vc(:,k) = kron(b(:,k),a(:,k)); % Space-Time Steering Vector. end Rc = Vc*Ksic*Vc'; % Eq. (64) Rn = sigma2*eye(M*N); ```

Jamming Covariance Matrix Calculation

```J = 2; % Number of Jammers. thetaj = 0; phij = [-40 25]; % Jammer elevation and azimuth angles in degrees. R_j = [370 370]*1e3; Sj = 1e-3; % Jammer ERPD in Watts/Hz. fspj = d/lambda*cos(thetaj*pi/180)*sin(phij*pi/180); % Spatial frequency of the j-th jammer. Lrj = 1.92; % System Losses on Receive in dB. Aj = zeros(N,J); for j=1:J Aj(:,j) = exp(1i*2*pi*fspj(j)*(0:N-1)); % Jammer Spatial Steering Vector. end indices= zeros(1,J); for j=1:J indices(j) = find(phi == phij(j)); end grgn = grgain(indices); ksi_j = (Sj*grgn*lambda^2)./((4*pi)^2.*Nn*10^(Lrj/10).*R_j.^2); Ksi_j = sigma2*diag(ksi_j); Phi_j = Aj*Ksi_j*Aj'; % Eq. (47) % Jamming Covariance Matrix: Rj = kron(eye(M),Phi_j); % Eq. (45) ```

Total Interference Covariance Matrix

```Ru = Rc + Rj + Rn; % Eq. (98) ```

Target Space-Time Steering Vector:

```phit = 0; thetat = 0; % Target azimuth and elevation angles in degrees. fdt = 100; % Target Doppler Frequency. omegact = fdt/fr; % Normalized Target Frequency. fspt = d/lambda*cos(thetat*pi/180)*sin(phit*pi/180); % Target Spatial Frequency. at = exp(1i*2*pi*fspt*(0:N-1)); % Target Spatial Steering Vector. bt = exp(1i*2*pi*omegact*(0:M-1)); % Target Doppler Steering Vector vt = kron(bt,at).'; % Target Space-Time Steering Vector. ta = chebwin(N,30); % 30 dB Chebychev Spatial Tapper. tb = chebwin(M,40); % 40 dB Chebychev Doppler Taper. t = kron(tb,ta); gt = t.*vt; ```

```w = Ru\gt; ```

```phi = -90:.5:90; Lphi = length(phi); fd = -150:.5:150; Lfd = length(fd); fsp = d/lambda*cos(theta)*sin(phi*pi/180); omega = fd/fr; Pw1 = zeros(Lfd,Lphi); for m=1:Lphi for n=1:Lfd a = exp(1i*2*pi*fsp(m)*(0:N-1)); % Dummy Spatial Steering Vector. b = exp(1i*2*pi*omega(n)*(0:M-1)); % Dummy Doppler Steering Vector v = kron(b,a).'; Pw1(n,m) = abs(w'*v)^2; end end ```

Normalisation:

```max_value = max(max(Pw1)); Pw = Pw1/max_value; % Scaling: [rows cols] = find(10*log10(abs(Pw))<-80); for i=1:length(rows) Pw(rows(i),cols(i)) = 10^(-80/10); end ```

```figure('NumberTitle', 'off','Name', ... 'Figure 24a. Example Scenario: Adapted Pattern for Tapered Fully Adaptive STAP', ... 'Position',[1 1 700 600]); [Az Doppler] = meshgrid(sin(phi*pi/180),fd); colormap jet; pcolor(Az, Doppler, 10*log10(abs(Pw))); shading interp; xlim([-1 1]) ylim([-150 150]); xlabel('sin(Azimuth)'); ylabel('Doppler Frequency (Hz)'); h = colorbar; set(get(h,'YLabel'),'String','Relative Power (dB)'); ```
```figure('NumberTitle', 'off','Name', ... 'Figure 23b. Principal Cuts at Target Azimuth and Doppler', ... 'Position',[1 1 700 600]); % a. Cut of the Adapted Pattern atDoppler = 100 Hz. subplot(2,1,1); plot(sin(phi*pi/180), 10*log10(abs(Pw(fd == fdt,:)))); ylim([-80 0.5]); xlim([-1 1]); ylabel('Relative Power (dB)'); xlabel('sin(Azimuth)'); title('Doppler Frequency = 100 Hz'); grid on; subplot(2,1,2); plot(fd, 10*log10(abs(Pw(:,phi == phit)))); ylim([-80 0.5]); xlim([-150 150]); ylabel('Relatuve Power (dB)'); xlabel('Doppler Frequency (Hz)'); title('Azimuth = 0 deg'); grid on; ```