DOA estimation algorithm based on FFT in switch antenna array

2011 ◽  
Author(s):  
Zhang Ke ◽  
Ma Peng ◽  
Zhang Jian-yun
Keyword(s):  
Antenna Array ◽  
Estimation Algorithm ◽  
Doa Estimation

scholarly journals Joint TOA and DOA Estimation for UWB Systems with Antenna Array via Doubled Frequency Sample Points and Extended Number of Clusters

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Liangliang Gong ◽  
Yang Hu ◽  
Junyao Zhang ◽  
Gaofeng Zhao
Keyword(s):  
Antenna Array ◽  
Estimation Algorithm ◽  
Doa Estimation ◽  
Ultra Wideband ◽  
Time Of Arrival ◽  
Number Of Clusters ◽  
Nanosecond Pulses ◽  
Toa Estimation ◽  
Sample Points ◽  
To Receive

The ultra-wideband (UWB) system, which transmits information using nanosecond or even sub-nanosecond pulses, has been widely applied in precise positioning. In this paper, we investigate the problem of the time of arrival (TOA) estimation and the direction of arrival (DOA) estimation in the UWB systems with antenna array and propose a joint TOA and DOA estimation algorithm with doubled frequency sample points and extended number of clusters. Specifically, the proposed algorithm uses two antennas to receive impinging signals and utilizes the conjugate symmetry characteristic of the delay matrices to extend the sample points as well as the number of clusters. Moreover, in order to obtain TOA estimates with low computational complexity, the proposed algorithm transforms the two-dimensional (2D) spectral search to one-dimensional (1D) searches. The DOA estimates can then be achieved by using the TOA estimation results and the geometric information. Simulation results are given to testify the performance of the proposed algorithm.

DOA Estimation Algorithm in Switch Antenna Array with a Single Cycle of Sampled Data

2011 ◽  
Vol 291-294 ◽  
pp. 3250-3254 ◽  
Author(s):  
Ke Zhang ◽  
Peng Ma ◽  
Jian Yun Zhang
Keyword(s):  
Antenna Array ◽  
Toeplitz Matrix ◽  
Estimation Algorithm ◽  
Doa Estimation ◽  
Eigenvalue Decomposition ◽  
The Novel ◽  
Sampled Data ◽  
Coherent Signals ◽  
Music Algorithm ◽  
Single Cycle

For DOA estimation of coherent signals in switch antenna array (SAA), a new fast algorithm is proposed. Instead of conventional sub-space algorithm’s covariance matrix, a Toeplitz matrix is constructed with a single cycle of sampled data. It is proved theoretically that the ranks of the Toeplitz matrix is equal to the number of signal sources and has no relations with the coherency of the signal source. Through eigenvalue decomposition, signal and noise subspace are obtained respectively, then DOA estimation can be done by one-dimensional spectral peak searching according to the MUSIC algorithm. The theoretical analysis and simulation results demonstrate validity and superiority of the novel algorithm.

Unitary Transformed DOA Estimation Algorithm Based on Modified Propagator Method

2013 ◽  
Vol 303-306 ◽  
pp. 2033-2037
Author(s):  
Guang Ya Huang ◽  
Xiao Fei Deng ◽  
Fan Bin Meng ◽  
Ping Yuan Liang
Keyword(s):  
Antenna Array ◽  
Estimation Algorithm ◽  
Doa Estimation ◽  
Propagator Method ◽  
Unitary Transform ◽  
Simulation Results

The modified propagator method(MPM) improves the performances of DOA estimation, but compared with the propagator method (PM), the computational loads increase, especially under large number of antenna array elements condition. This paper studies the principle of using unitary transform to rearrange the propagator, and proposes unitary transformed MPM(UMPM) in order to decrease the computational loads by real-valued computation. The simulation results show that the proposed algorithm can achieve superior precision and lower computational loads than PM, MUSIC and MPM.

scholarly journals An Enhanced Smoothed L0-Norm Direction of Arrival Estimation Method Using Covariance Matrix

Sensors ◽  
2021 ◽  
Vol 21 (13) ◽  
pp. 4403
Author(s):  
Ji Woong Paik ◽  
Joon-Ho Lee ◽  
Wooyoung Hong
Keyword(s):  
Covariance Matrix ◽  
Phased Array ◽  
Null Space ◽  
Estimation Method ◽  
Direction Of Arrival ◽  
Estimation Algorithm ◽  
Doa Estimation ◽  
Direction Of Arrival Estimation ◽  
Improve Performance ◽  
Space Projection

An enhanced smoothed l0-norm algorithm for the passive phased array system, which uses the covariance matrix of the received signal, is proposed in this paper. The SL0 (smoothed l0-norm) algorithm is a fast compressive-sensing-based DOA (direction-of-arrival) estimation algorithm that uses a single snapshot from the received signal. In the conventional SL0 algorithm, there are limitations in the resolution and the DOA estimation performance, since a single sample is used. If multiple snapshots are used, the conventional SL0 algorithm can improve performance in terms of the DOA estimation. In this paper, a covariance-fitting-based SL0 algorithm is proposed to further reduce the number of optimization variables when using multiple snapshots of the received signal. A cost function and a new null-space projection term of the sparse recovery for the proposed scheme are presented. In order to verify the performance of the proposed algorithm, we present the simulation results and the experimental results based on the measured data.

scholarly journals Spectral Domain Sparse Representation for DOA Estimation of Signals with Large Dynamic Range

Sensors ◽  
2021 ◽  
Vol 21 (15) ◽  
pp. 5164
Author(s):  
Jacob Compaleo ◽  
Inder J. Gupta
Keyword(s):  
Sparse Representation ◽  
Antenna Array ◽  
Dynamic Range ◽  
Direction Of Arrival ◽  
Doa Estimation ◽  
Single Step ◽  
Window Function ◽  
Spectral Domain ◽  
Low Sidelobe ◽  
Weighting Window

Recently, we proposed a Spectral Domain Sparse Representation (SDSR) approach for the direction-of-arrival estimation of signals incident to an antenna array. In the approach, sparse representation is applied to the conventional Bartlett spectra obtained from snapshots of the signals received by the antenna array to increase the direction-of-arrival (DOA) estimation resolution and accuracy. The conventional Bartlett spectra has limited dynamic range, meaning that one may not be able to identify the presence of weak signals in the presence of strong signals. This is because, in the conventional Bartlett spectra, uniform weighting (window) is applied to signals received by various antenna elements. Apodization can be used in the generation of Bartlett spectra to increase the dynamic range of the spectra. In Apodization, more than one window function is used to generate different portions of the spectra. In this paper, we extend the SDSR approach to include Bartlett spectra obtained with Apodization and to evaluate the performance of the extended SDSR approach. We compare its performance with a two-step SDSR approach and with an approach where Bartlett spectra is obtained using a low sidelobe window function. We show that an Apodization Bartlett-based SDSR approach leads to better performance with just single-step processing.

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