A Developed ESPRIT Algorithm for DOA Estimation

Abstract

A novel algorithm for estimating direction of arrival (DOAE) for target, which aspires to contribute to increase the estimation process accuracy and decrease the calculation costs, has been carried out. It has introduced time and space multiresolution in Estimation of Signal Parameter via Rotation Invariance Techniques (ESPRIT) method (TS-ESPRIT) to realize subspace approach that decreases errors caused by the model's nonlinearity effect. The efficacy of the proposed algorithm is verified by using Monte Carlo simulation, the DOAE accuracy has evaluated by closed-form Cramér-Rao bound (CRB) which reveals that the proposed algorithm's estimated results are better than those of the normal ESPRIT methods leading to the estimator performance enhancement.

A Modified T-ESPRIT for 2-D Direction of Arrival Estimation Performance Enhancement

“…Accurate DOAE leads to reduce the angle glint error which affects the accuracy of the tracking radars. ESPRIT has been widely studied in one-dimensional (1D) DOAE for uniform linear array (ULA), non-uniform linear array (NULA) [1]- [11], and also extended to twodimensional (2D) DOAE [12]- [19]. A high performance for the estimator means high accuracy of DOAE with low calculation costs.…”

“…In this paper, a new modified algorithm based on time multi resolution (T-ESPRIT) [1], [2] is presented to estimate 2D-DOAE (azimuth and elevation) of a radiated source which has been detected by a planar array antenna. Subspace concept has been applied to reduce the model's non-linearity effect and to realize parallel processing which leads to enhance the estimation accuracy with low computational load.…”

Doppler Correction to Improve TS-ESPRIT Algorithm Used in NULA

“…Great efforts have been done to improve DOAE accuracy via applying ESPRIT for uniform linear array (ULA) [1]- [7] and non-uniform linear array (NULA) [8]- [11].…”

“…In previous work, the method involved in both the temporal and spatial resolution (TS-ESPRIT) had been introduced to realize subspace approach by combining the S-ESPRIT method with the T-ESPRIT [1] , [2], [12] which realized high estimation accuracy with low computational load due to benefit from the advantages of subspaces and multi-resolution techniques.…”

“…In this paper a new idea is presented based on spatial subspace concept not on spatial sampling concept which had been used in [1], [8]- [11]. Spatial subspace is realized by divided the NULA to multiple ULAs with the same reference point and compute DOAE by applying T-ESPRIT for each separately, but in parallel with the others.…”