With an identical number of physical sensors, a coprime array provides a greater number of
degrees of freedom (DOFs) and virtually offers a larger array aperture compared with the …

Direction of arrival (DOA) estimation is a key point in Array signal processing. It plays an
important role in radar, sonar, wireless communications. The concept of Compressive …

Herein, two-dimensional direction-of-arrival (DOA) estimation of impinging signals on a L-
shaped coprime array structure, in compressive sensing paradigm is explored. The received …

On-grid approaches for DOA estimation majorly exhibits the problem of grid mismatch.
Coarse grid leads to reduced estimation accuracy and dense grid leads to increased …

In the domain of array signal processing, the identification and suppression of jamming
signals pose significant challenges, particularly in scenarios where intentional interferers …

Recently, compressed sensing algorithms, including convex optimization and greedy
algorithm, are considered as a new development for direction of arrival (DOA) estimation …

One of the major constraints of using sensor networks in wireless medium is high power
dissipation at the time of signal transmission and reception by the sensor nodes. This greatly …

Compressive sensing (CS) is a novel paradigm to recover a sparse signal in compressed
domain. In some overcomplete dictionaries, most practical signals are sparse rather than …

The Neural Networks (NN) is a subset of Machine Learning (ML) Algorithms used for
prediction and function approximation. In this paper, we propose a Artificial Neural Network …

Compressive sensing (CS) is a novel paradigm to recover a sparse signal in compressed
domain. In some overcomplete dictionaries, most practical signals are sparse rather than …