چكيده به لاتين
In this thesis, the problem of 2-Dimensional Direction-Of-Arrival (2D-DOA) estimation is investigated for Coprime Planar Arrays (CPAs). A difficulty with 2D-DOA estimation algorithms is their low computational speed. A well-known method introduced in this field is the 1-Dimensional Partial Spectral Search (1DPSS), which could increase the computation speed by decreasing the dimension of the spectrum function to 1D in each sub-array. However, the computational speed of spectral-based search methods decreases for very small step-size parameters.
In this thesis, two methods are presented in order to increase the computation speed of 2D-DOA estimation methods implemented by CPAs. The main ideas of these two methods are elimination of partial spectral search process in the second sub-array and in both sub-arrays, respectively. Therefore, the processing speed in the first proposed method is about 27 times and in the second one about 43 times faster than that of the 1DPSS. An interesting point about the first method is that by increasing the number of elements in the second sub-arrays, the processing speed becomes faster. Simulation results show the superiority of the proposed approaches compared to the recent methods.
Key words: two-dimensional Direction of Arrival Estimation, Coprime Array, Partial Spectral Search Approach, 1DPSS .
