In this work, we propose a subspace-based algorithm for direction-of-arrival (DOA) estimation, referred to as two-step knowledge-aided iterative estimation of signal parameters via rotational invariance techniques (ESPRIT) method (Two-Step KAIESPRIT), which achieves more accurate estimates than those of prior art. The proposed Two-Step KAI-ESPRIT improves the estimation of the covariance matrix...

In this paper, a speech classifier inspired by the signal subspace approach is developed. A novel signal subspace speech model is initially obtained via a rank reducing subspace decomposition algorithm that is based on the SVD. Motivated by the assumption that the speech signal comprises of short term dynamics that are slowly changing, it follows that the signal subspace of the speech signal is...

The goal of this paper is to give a brief overview on smart antennas, before analyzing some popular algorithms from this domain in MATLAB and providing simulation results(especially a parametric study of the algorithms), in order to enhance understanding of the possibilities, but also the limitations of these algorithms. The main focus is on Direction of Arrival (DOA) algorithm called beamformi...

Frequency hopping systems have traditionally been applied in low-data rate applications where the received signal can be considered narrow-band. The multipath delays encountered in a wireless channel has considerably less a ect on a narrow-band signal. In such cases, delay estimation is not of much signi cance. However, delay estimation becomes increasingly important when the bandwidth of the s...

In this paper, we introduce a new focusing technique for localization of wideband signals. Relaxing the unitary assumption for the focusing matrices, we formulate the least-square (LS) and the total least-square (TLS) coherent signal-subspace methods. The TLS is an alternative to the conventional LS and uses the fact that the errors can exist both in the focusing location matrix as well as in t...

Rotational time dilation and angular contraction are discussed in comparison with the time deletion and length contraction of special relativity. The related issues of clock paradox and simultaneity are explored in rotational scenario. The non Euclidian nature of a relativistic rotation is analyzed in both θ t and θ r subspace. It has been shown that the constancy of the speed of light is intri...

Sensor arrays are gradually becoming a current research hotspot due to their flexible beam control, high signal gain, robustness against extreme interference, and spatial resolution. Among them, spherical microphone with complex rotational symmetry can capture more sound field information than planar convert the collected multiple speech signals into harmonic domain for processing through modal...