COHERENT-PULSE RADAR SIGNALS SPACE-TIME AND TIME-SPACE FILTERING PERFORMANCE EVALUATION

Illumination Optimized Transmit Signals for Space-Time Multi-Aperture Radar

Radar Space-Time Adaptive Processing

Space-time adaptive processing (STAP) is a signal processing technique that was originally developed for detecting slow-moving targets using airborne radars. The general principle of STAP is as follows. The radar transmits a train of M coherent pulses. The echoes from potential targets (and clutter) are collected at each of the N elements of an antenna array. Separate receiver chains are attach...

Application of Single-Frequency Time-Space Filtering Technique for Seismic Ground Roll and Random Noise Attenuation

Time-frequency filtering is an acceptable technique for attenuating noise in 2-D (time-space) and 3-D (time-space-space) reflection seismic data. The common approach for this purpose is transforming each seismic signal from 1-D time domain to a 2-D time-frequency domain and then denoising the signal by a designed filter and finally transforming back the filtered signal to original time domain. ...

Space-time Clutter Model and Simulation for Space-based Radar

Abstract The performance of Space-Based Radar (SBR) to detect air or ground moving targets is influenced by earth clutter, so an effective algorithm to suppressing clutter can be designed if knowing the power and distribution of earth clutter. In this paper, the clutter model of SBR is deduced. Besides, the earth's rotation effect is taken into account and the modification to Doppler frequency ...

Space-Time Filtering, Sampling and Motion Uncertainty

We analyse the structure of filters which are space-time oriented. Basically, this paper consists of two parts. In the first one, we present the cascade of space-time DOG as an energy filter, discuss its general properties and show how to compute its energy. In the second part, we discuss the consequences of applying the sampling theorem to uniformly translating patterns in the presence of moti...