Abstract:
A radar warning receiver is disclosed. The radar warning receiver includes an antenna, a signal detection unit, a signal identification unit and an alarm. The antenna collects radio frequency (RF) signals. The signal detection unit is configured to generate a group of frequency and amplitude signals based on the collected RF signals. Specifically, the signal detection unit includes a pair of limiting amplifiers for converting the collected RF signals into corresponding pulsed output signals that track the actual frequency oscillations of the collected RF signals, and a pseudo-random noise generator for injecting noise into one of the limiting amplifiers. Based on the frequency and amplitude signals, the signal identification unit determines whether or not any of the collected RF signals includes a threat signal. The alarm is utilized to present a threat signal to a human operator.
Abstract:
A radar warning receiver is implemented in low cost integrated circuit form utilizing only one analog component, namely a limiting amplifier. By taking the output of the limiting amplifier and utilizing monobit sampling of the output it has been found that one can provide an integrated circuit single chip radar warning receiver using delay correlation to extract frequency, amplitude and modulation type from signals at or below the noise level.
Abstract:
A multi-port junction is used in combination with an Inverse Fourier Transform to detect distance to fault in an RF transmission line or waveguide without the use of heterodyne down-conversion circuits. To provide an ultra-wide bandwidth frequency domain reflectometer the output ports of the multi-port junction are used to calculate distance to fault and return loss. The Inverse Fourier Transform algorithm is modified to take into account both phase shift per unit length of the transmission line and attenuation per unit of length in the transmission line, with the output of the modified Inverse Fourier Transform being applied to a module that subtracts out the effect of previous faults by solving for the distances ahead of time before knowing amplitudes and for solving for amplitude at each prior fault starting with the first fault. The output of this module is then used thresholded to remove the effects of noise, secondary reflections and inconsequential peaks. The result is a time domain waveform in which peak positions indicate the distance to real faults and in which return loss or percent reflection is calculated for each of the faults. Moreover, internal calibration loads and specialized processing are used to effortlessly calibrate the reflectometer in the field.