Title :
Pulse coding techniques for ST/MST radar systems: a general approach based on a matrix formulation
Author :
Spano, Eric ; Ghebrebrhan, O.
Author_Institution :
Lab. de Sondages Electromagnetiques de l´´Environnement Terrestre, Toulon Univ., La Garde, France
fDate :
3/1/1996 12:00:00 AM
Abstract :
An approach based on matrix formulation used for the representation and analysis of the signals and processes in ST/MST radar systems using a series of polyphase code sequences is presented. Expressions of the appropriate signals at various stages of the transmitting/receiving and processing channels of the system are given, using mostly matrix formulation, which has the advantage, among other things, of compactness. The expressions of the powers of the various components of the received signal, including the geophysical signal and interference signals, are obtained in order to derive expressions for performance parameters such as those related to the degradation of signal-to-noise ratio in the truncated ranges and interference suppression. Analysis tools for obtaining optimum solutions to the full decoding of truncated ranges, interference suppression, and reduction of sidelobes resulting from atmospheric characteristics are developed
Keywords :
atmospheric techniques; geophysical signal processing; mesosphere; meteorological radar; pulse code modulation; pulse compression; radar applications; radar signal processing; radar theory; remote sensing by radar; stratosphere; troposphere; MST radar; ST radar; ST/MST radar; interference suppression; lower atmosphere; matrix formulation; measurement technique; mesosphere; meteorology; middle atmosphere; polyphase code sequence; pulse coding; radar remote sensing; radar signal processing; range resolution enhancement; sidelobe reduction; stratosphere; troposphere; Decoding; Degradation; Doppler shift; Interference suppression; Radar signal processing; Signal analysis; Signal processing; Signal to noise ratio; Terrestrial atmosphere; Transmitters;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on