A Two-Dimensional Direction Finding Method Based on Non-Uniform Array

Abstract

In this paper, an aperture expanding direction finding algorithm using L-shaped non-uniform sparse array is proposed. Firstly, the virtual array is expanded by vectorization, de-redundancy and sorting of received data covariance matrix. Secondly, the full rank matrix is got by smoothing the virtual array data, and the signal subspace is obtained by matrix block processing and matrix operation. Finally, the elevation angle and azimuth angle are acquired by using the rotation invariant relation. The algorithm does not need to decompose the covariance matrix of the data, nor does it need to search the two-dimensional spectral peaks. It can greatly reduce the computational complexity when there are many array elements and large number of snapshots. The simulation results show that the sparse array arrangement can enlarge the array aperture, improve the parameter resolution and the accuracy of DOA estimation, and verify the effectiveness of the proposed algorithm.

Design and Analysis of Smart Antenna for Mobile Application

“…To measure beam width, the angle between two sites on opposing sides of the pattern maximum is used. [1] For the most part, beam widths fall into two categories: FNBW, and HPBW.…”

“…Mobile systems play a critical role in today's technological advancements because of the need for dependable portable solutions in terms of data transmission and communication. [1] Devices have evolved throughout time, as seen in Figure 1. Considering the tiny size, compactness, and light weight of antennas used in mobile communication devices, [2,3] these characteristics are critical in the telecommunications business.…”