(200) end end The Doppler Bin #6 corresponds to the seventh column of the above matrices msel = 7 (189) Solve M Separate N-dimensional Adaptive Problems ksicm = zeros(Nc,M+1) Td = chebwin(M,40) % 40-dB Chebyshev Doppler Taper.į = diag(td)*conj(U) % Eq.
![doppler max 6 doppler max 6](https://dfzljdn9uc3pi.cloudfront.net/2021/cs-367/1/fig-6-full.png)
U(:,m) = 1/sqrt(M)*exp(-1i*2*pi*omegadopplerbank(m)*(0:M-1)) % Doppler Filter Steering Vector end Ta = chebwin(N,30) % 30 dB Chebychev Spatial Tapper.ĭoppler Filter Matrix Construction dopplerfilterbank = linspace(0,300,M+1) (98) Target Space-Time Steering Vector phit = 0 thetat = 0 % Target azimuth and elevation angles in degrees.įdt = 100 % Target Doppler Frequency in Hz.įspt = d/lambda*cos(thetat*pi/180)*sin(phit*pi/180) Īt = exp(1i*2*pi*fspt*(0:N-1)).' % Target Spatial Steering Vector. Total Interference Covariance Matrix Ru = Rc + Rj + Rn % Eq. Jamming Covariance Matrix Calculation jamm_cov % Normalized Doppler Frequency of the k-th clutter patch: (58) Clutter Covariance Matrix Computations beta = 1 % beta parameter.
Doppler max 6 Patch#
Thermal Noise Power Computation thermal_noise_power Ĭlutter Patch RCS Computation clutter_patch_rcs Ĭalculate the Array Transmit and Element Receive Power Gains Tx_Rx_power_gains Ĭalculate the Clutter to Noise Ratio (CNR) for each azimuth angle ksi = Pt*Gtgain.*Grec*lambda^2*sigma/((4*pi)^3*Pn*10^(Ls/10)*Rcik^4) % Eq. Radar System Operational Parameters radar_oper_params
Doppler max 6 code#
Code provided for educational purposes only. Plot the Principal Cut at Doppler = 100 HzĬoded by Ilias Konsoulas, 16 Sept.The Doppler Bin #6 corresponds to the seventh column of the above matrices.Solve M Separate N-dimensional Adaptive Problems.Calculate the Clutter to Noise Ratio (CNR) for each azimuth angle.
![doppler max 6 doppler max 6](https://i.ebayimg.com/images/g/6xkAAOSwByxgaGr~/s-l300.jpg)