Reduced-complexity Capon for direction of arrival estimation in a monostatic multiple-input multiple-output radar

Abstract

In this study, the authors consider the direction of arrival (DOA) estimation problem for a monostatic multiple-input multiple-output (MIMO) radar. A DOA estimation algorithm for the monostatic MIMO radar using Capon and the reduceddimension transformation is proposed. The proposed algorithm can achieve lower computational complexity than the Capon algorithm, while not debasing the performance of the angle estimation. The proposed algorithm has better angle estimation performance than the Capon algorithm and estimation of signal parameters via rotational invariance techniques algorithm, and it has close angle estimation performance to the Cramér -Rao bound (CRB). The variance of the estimation error and the CRB of the DOA estimation are derived. Simulation results present the usefulness of the proposed algorithm.

Sparse linear array in the estimation of AoA and AoD with high resolution and low complexity

“…Furthermore, propagator direct data acquisition (PDDA) method in the work of Al‐Sadoon et al directly uses the received signal instead of the correlation matrix for reducing computational complexity. Similar to methods in other works, PDDA does not require the estimation of the number of sources in the system. Again, MUSIC‐like algorithms in the works of Zhang and Ng and Reddy et al use minor component analysis with the marginal trade‐off in the accuracy of estimating the angles.…”

“…The ESPRIT method requires array geometry with two identical subarray for finding the angles . The complexity of the Capon method is less through use of the reduced dimension transformation (RDT) matrix with the received signal . However, as the number of antenna elements increases, the complexity also increases due to the increased dimension of the RDT matrix.…”

Frequency Diversity Array for DOA Estimation

“…In the last two decades, many techniques have been proposed for DOA estimation [1][2][3][4][5]. High resolution techniques have also been studied by radar researchers [6][7][8][9][10].…”

Covariance vector sparsity-aware DOA estimation for monostatic MIMO radar with unknown mutual coupling

“…In MIMO radar, the subspacebased methods, such as multiple signal classification (MUSIC) algorithm [8], estimation of signal parameters via rotational invariance techniques (ESPRIT) algorithm [9], have been proposed for angle estimation. In addition, by exploiting the special structure of the virtual array in monostatic MIMO radar with uniform linear array, the reduced dimensional ESPRIT (RD-ESPRIT) [10] and reduced dimensional Capon (RD-Capon) algorithm [11] are proposed to estimate DOA. Unfortunately, these methods strongly depend on the array manifold of MIMO radar, which is often perturbed by mutual coupling in practical situations.…”