Method for compensating bandwidth error of synthetic wideband radar signal

Statistical Signal Processing for Synthetic Aperture Radar

Synthetic Aperture Radar (SAR) currently has problems in the processing that lead to smearing of the image. We have developed a new method of processing the data using maximum likelihood theory that will remove the smearing leading to superior images. The goal of this project was to write a MATLAB program to simulate a SAR system to test the new processing method.

Signal Design for Ultra-Wideband Radar and Wireless Communications

The emerging ultra-wideband technology is in demand of extensive theoretical as well as experimental research to advance the implementation and commercial use of its numerous applications. Impulse-type signals are characterized by an ultra-wide frequency bandwidth that is desirable for the applications of high-resolution radar and wireless communications. In this paper, a signal model referred ...

Model-Based Radar Power Calculations for Ultra-Wideband (UWB) Synthetic Aperture Radar (SAR)

Phase Error Compensation Technique for Improved Synthetic Aperture Radar Performance

adar data contain phase errors whose sources include uncompensated platform motion and transmitter and receiver phase errors. Achieving theoretical resolution from a pulse compression system requires a method to minimize those phase errors. This article discusses a method of estimating and correcting phase errors in synthetic aperture radar data. The method requires that one or more stationary ...

Pulse Compression Method for Radar Signal Processing

One fundamental issue in designing a good radar system is it’s capability to resolve two small targets that are located at long range with very small separation between them. Pulse compression techniques are used in radar systems to avail the benefits of large range detection capability of long duration pulse and high range resolution capability of short duration pulse. In these techniques a lo...