Doa and Power Estimation by Controlling the Roots of the Antenna Array Polynomial

Abstract

Abstract-A new direction-of-arrival (DOA) and power estimation method of unknown number of source signals is proposed. The direction and power of coherent and/or noncoherent signals are estimated by controlling the roots of the array polynomial on the unit circle. The genetic algorithm is used to find the phases of the array polynomial roots that minimize the array output power. The pseudo-spectrum is obtained by phase rotation of the estimated roots, and the real power spectrum is derived from the pseudo-spectrum and the array factor. The results indicate that the direction of arrivals, power of the signals, and number of source signals are estimated from the real power spectrum.

Features and Futures of Smart Antennas for Wireless Communications: A Technical Review

“…To increase the competence of smart antennas, there is prerequisite to contrivance in approximately additional algorithms. The recital of smart antennas are governed by using the appropriate application of algorithms for DOA estimation and Beam-forming [6,9,29,[32][33][34][35][36].…”

“…The signal processing in the smart antenna estimates the Direction of Arrival (DOA) [32][33][34] and formation of Adaptive Beam Forming (ABF) algorithm [8,11,[35][36][37][38]. Basha et.…”

“…[16] have proposed a beamforming using hybridization of soft computing techniques and later in terms of DOA. The DOA of smart antenna estimates the direction of interferer signals against the desired user [1,[33][34][35][36][37].…”

Frequency and power estimation of sinusoids using eigen-approach

“…Additionally, the usage of random search optimization processes towards estimating frequencies and power of sinusoidal signals has been offered; the author in [6] uses a population based stochastic method, Particle Swarm Optimization (PSO) to estimate diverse sinusoids' frequencies along with their real power, without previous knowledge of the signals' number, amplitude, nor phase [7]. Furthermore, random search is employed to evaluate the direction-of-arrival and power estimation of source signals [8].…”

Adaptive FIR filter for frequency and power estimation of sinusoids

“…Specifically, (GA) was used in adjusting an adaptive antennae receiver (Kokai et al, 2005) and (PSO) in solving the optimisation problem of topology of radio frequency identification network (Zhang et al, 2011). Moreover, these algorithms have proven to be very efficient when used for frequency estimation (Elissa and Mismar, 2016;Mismar and Ismail, 2015).…”