A dimension separation-based two-dimensional correlation interferometer algorithm

Abstract

A two-dimensional correlation interferometer algorithm based on dimension separation is proposed for wideband direction finding. The original two-dimensional angle searching is divided into 2 one-dimensional searching processes in the proposed algorithm. Therefore, the computational complexity is reduced. Meanwhile the introduced interpolation process ensures the direction finding precision. Simulation results demonstrate that compared with conventional correlation interferometer algorithm, the proposed one can offer higher direction finding speed.

Performance Analysis of Interferometer Algorithm under Phase Measurement Error

“…In [9], computationally efficient implementation scheme for a two-dimensional correlation interferometer algorithm is proposed. Two one-dimensional search processes are performed to replace two-dimensional search.…”

2D DOA Estimation of UCA Correlative Interferometer Based on One Dimensional Sorting Lookup Table-Two Dimensional Linear Interpolation Algorithm

“… Algorithm 4: the algorithm in [17]. The step angle of the lookup table is 1° and the interpolation multiple is 100.…”

“…The step angle of the lookup table is 1° and the interpolation multiple is 100. Algorithm 4 uses the maximum correlation coefficient criterion [13], [14] in the azimuth direction and the maximum cosine sum criterion in the elevation direction [17].…”

“…In order to solve this problem, a series of algorithms are proposed recently. In [17], the authors study a dimension separation-based two-dimensional correlation interferometer algorithm. The original two-dimensional angle searching is divided into 2 one-dimensional searching processes in the proposed algorithm to reduce the computational complexity.…”

“…The direction-finding algorithm of the correlative interferometer is simple and it has been regarded as a high precision direction finding system by the International Telecommunication Union (ITU) [12]. So, it has been widely used in recent years [13][14][15][16][17][18][19]. As can be seen from the direction finding principal that the DOA estimation precision of the correlative interferometer must be ensured by the sample data precision, which inevitably brings about the high computational complexity and big data storage burden [12][13][14][15][16], [19].…”