| Summary: | 博士 === 元智大學 === 通訊工程學系 === 104 === A stereo-synthetic aperture radar (stereo-SAR)-based technique is proposed to estimate the unknown terrain profile of a target area. This technique first mathematically builds up a virtual reference profile. An algorithm is afterward developed to estimate the relative height difference between the desired and reference profiles by using the trigonometric relationship between their relative SAR range distances, which allows for building up the height of the desired profile from the reference profile. This technique is advantageous and is simple in implementation because the virtual reference profile is constructed by using the same SAR range information as that used for the terrain profile under estimation, which is established by considering the measurement difference between two SAR receivers. It does not require the use of an existing known profile as the reference. Furthermore, we present a technique for calibrating the measured SAR range information, which significantly improves the estimation accuracy. Three practical examples are presented to demonstrate the feasibility of the developed technique.
This thesis presents an overlapped subarray decomposition method to effectively simulate electrically large planar array of antennas, where the extracted subarrays can be simulated in parallel by commercial codes in a distributed fashion. This method is relatively simple and allows one to obtain a reasonable result within the acceptable level of accuracy for the engineering purpose. A plug-in code can be built up by using a commercial code as a computational engine. The characteristics of this method are investigated by considering the simulation of a dipole antenna array via the application of the method of moments (MoM).
Finally, we developed a hybrid algorithm combining the signal processing technique and beam forming algorithm to decompose the multiple signals simultaneously received by the phased array antennas. The developments utilize the discrepancy occurred in the signals with multiple frequencies and the discrepancies occurred in the signal receptions at each array elements. In particular, the Matrix Pencil method (MP) is employed to treat the characteristics of signals in the frequency discrepancy to extract the distance information while the DFT based algorithm is employed to decompose the signals in different directions. Here the DFT performs as the multi-beam forming and may be able to track multiple signals in various directions.
|
|---|
