CP-MCT is a novel microwave imaging technology, which is harmless to human body and low cost. This paper attempts to apply it to the detection of hemorrhagic cerebral stroke (HCS) by means of simulation, and try to analyze its robustness. Firstly, we build four realistic HCS brain images whose voxel value is the brain tissue attenuation constant at 2GHz. Then we calculate the Radon projection values of them and superimpose noises with different signal-to-noise ratio (SNR) to simulate the propagation of signal in different channels. Secondly, we use filtered back projection (FBP) algorithm to reconstruct the HCS brain images and calculate the Root Mean Square Error (RMSE) values between the reconstructed images and the corresponding original images to evaluate image reconstruction performance. Results show that the RMSE values are larger and decrease significantly with the increasing of SNR when the SNR is below 30dB, and when SNR is above 30dB, the RMSE values are around 8NP/m.
Narrowband interference (NBI) is familiar in satellite DS/CDMA systems. Frequency domain notch filter (FDNF) based
on FFT was popular due to its fast arithmetic and absence of convergence time and recursive algorithm. However, at low
jammer-to-signal (JSR), the bit error rate (BER) performance degrades dramatically in comparison with the matched
filter (MF) receiver of the system self. In this paper, a switching metric named compression gain (CG) was introduced to
force FDNF active only after certain interference power level and MF receiver active at lower JSR. By use of CG
switching metric, the algorithm overcomes the threshold effect of traditional FDNF. The advantages of the improved
FDNF (IFDNF) are low computational complexity and expandability due to that the decision of the domain to be used is
made before the interference suppression and the inverse transform. The IFDNF based on CG metric offers better BER
performance than original FDNF at lower JSR, and also outperforms the MF receiver at higher JSR. Numerical
simulation results show the proposed IFDNF overcomes the threshold effect flaw and also verify the validity of the CG
parameter as a switching metric.