UWB noise acoustic atmospheric radar

In this paper we discuss a new approach to create the acoustic atmospheric radar (sodar) which is based on noise sounding waveform. Such sounding waveform fits all formal requirements to UWB signals and has remarkable characteristics including extremely high range and speed resolution. It is important to remember that all these good properties exist only in the case when we have independent samples. The noise signal forms the independent samples because of its nature. The prototype of the radar is described and investigated theoretically, using computer simulation, and in natural conditions. Non-parametrical signal processing algorithm is developed based on statistical approach and digital signal processing. It has wonderful properties of invariance to the group of the noise and signal transforms and stable level of the false alarm probability can be applied for both acoustic and microwave UWB noise radars. The use of the FFT algorithm increases the speed of calculations and gives us the possibility of constructing digital random signal radars. The results of this project confirm that the random signal radar is one of the most interesting types of radar. It combines properties of UWB radar with some additional features, based on random nature of the sounding waveform. These new properties allow us to simplify signal detection algorithms and measure a distance, an azimuth and a target velocity simultaneously with high resolution and accuracy.