Real-time time-frequency domain signal analysis for electronics support measure systems on FPGA

In this work, we have presented a real-time FPGA based electronic support measure processor detecting and identifying the signals in downconverted intermediate frequency band. The design is based on taking short time Fourier transform of the incoming signal to obtain a two dimensional gray scale image. The image is then binarized by using an adaptive binarization technique for signal detection and processed using image processing algorithms.