Two-Dimensional ESPRIT-Like Shift-Invariant TOA Estimation Algorithm Using Multi-Band Chirp Signals Robust to Carrier Frequency Offset

Oh, Daegun; Kim, Sangdeok; Yoon, Sung Min; Chong, Jong‐Wha

doi:10.1109/twc.2013.060413.112013

Cited by 34 publications

(16 citation statements)

References 28 publications

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“…3) Literature Review: The summary of the research carried out to achieve timing and carrier synchronization in singlecarrier SISO communication systems is given in Table IV: 1) The estimation or compensation of timing offset alone and frequency offset alone is studied in [34,35,36,37,38,39,42,43,44,49,52,54,59,62,63,64,65,67,68,70,72] and [45,47,53,66,71,74], respectively. 2) Joint timing and carrier synchronization is studied in [31,32,33,40,46,51,56,57,60,61,73]. The categorized papers differ in terms of channel model, channel estimation requirements or pilot/training requirements.…”

Section: Siso Systemsmentioning

confidence: 99%

“…Note that cyclic prefix can mainly remove the ISI and proper design of the cyclic prefix length has been a design issue under research. Table II CLASSIFICATION OF PAPERS ON TIMING OR CARRIER SYNCHRONIZATION, 2010-2014 Communication System Single-carrier Multi-carrier SISO [31], [32], [33], [34], [35], [36], [37], [38], [39], [40], [41], [42], [43], [44], [45], [46], [47], [48], [49], [50], [51], [52], [53], [54], [55], [56], [57], [58], [59], [60], [61], [62], [63], [64], [65], [66], [67], [68], [69], [70], [71], [72], [73], [74] [75], [76], [77],…”

Section: Siso Systemsmentioning

confidence: 99%

See 1 more Smart Citation

Timing and carrier synchronization in wireless communication systems: a survey and classification of research in the last 5 years

Nasir

Durrani

Mehrpouyan

et al. 2016

J Wireless Com Network

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Timing and carrier synchronization is a fundamental requirement for any wireless communication system to work properly. Timing synchronization is the process by which a receiver node determines the correct instants of time at which to sample the incoming signal. Carrier synchronization is the process by which a receiver adapts the frequency and phase of its local carrier oscillator with those of the received signal. In this paper, we survey the literature over the last 5 years (2010)(2011)(2012)(2013)(2014) and present a comprehensive literature review and classification of the recent research progress in achieving timing and carrier synchronization in single-input single-output (SISO), multiple-input multiple-output (MIMO), cooperative relaying, and multiuser/multicell interference networks. Considering both single-carrier and multi-carrier communication systems, we survey and categorize the timing and carrier synchronization techniques proposed for the different communication systems focusing on the system model assumptions for synchronization, the synchronization challenges, and the state-of-the-art synchronization solutions and their limitations. Finally, we envision some future research directions.

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Section: Siso Systemsmentioning

confidence: 99%

Section: Siso Systemsmentioning

confidence: 99%

Timing and carrier synchronization in wireless communication systems: a survey and classification of research in the last 5 years

Nasir

Durrani

Mehrpouyan

et al. 2016

J Wireless Com Network

View full text Add to dashboard Cite

show abstract

“…Initially, several relevant parameters are estimated, including angle of arrival [12] (AOA), time of arrival [10] (TOA), time difference of arrival [4] (TDOA), differential of Doppler (DD) [9], received signal strength [8] (RSS), and other relevant features [5,6,11,13]. Then, the position of the target is estimated based on a set of equations using the parameters obtained from the first step.…”

Section: Introductionmentioning

confidence: 99%

An Efficient Direct Position Determination Algorithm Combined with Time Delay and Doppler

Wang¹,

Wu²,

Yi³

2015

Circuits Syst Signal Process

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The conventional passive location methods such as Taylor series and two-step weighted least square are usually implemented by first estimating related parameters and then solving equations to get the target position. However, the parameters used for location estimation are only estimates and represent an unnecessary intermediate step in the process, which also cannot guarantee to match the real location information. This separation between the parameter estimation algorithm and the location estimation algorithm may lead to information loss. By utilizing a combination of time delay and Doppler, this paper proposes an improved direct position determination algorithm to improve the estimation accuracy. A novel maximum likelihood estimator is used to transform the problem into one of searching for the largest eigenvalue of a Hermitian matrix of position information. Calculation is simplified since the part of nonzero eigenvalues remains unchanged after the matrix is transposed. The target's position estimation is then determined by searching the space of two-dimensional geographic grids. Simulation results show that the performance of proposed algorithm is closer to the Cramér-Rao lower bound than the original direct position determination algorithm and traditional two-step method based on time delay and Doppler.

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“…However, it needs eigenvalue decomposition and spectral peak searching whose computational complexity is very high. To address this issue, the estimation of signal parameters via rotational invariance technique (ESPRIT) is provided to time delay estimation [10]. It does not need spectral peak searching and its computational complexity significantly reduces.…”

Section: Introductionmentioning

confidence: 99%

Root-MUSIC Time Delay Estimation Based on Propagator Method

Ba¹,

Wang²,

Zheng³

et al. 2015

Advances in Intelligent Systems Research

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Abstract. This paper presents a new root multiple signal classification (Root-MUSIC) time delay estimation method based on the concept of well known propagator method (PM). The PM does not need the eigenvalue decomposition whose computational complexity is high. This method has great performance of time delay estimation under the condition of high signal to noise ratio (SNR) and need spectral peak searching whose computational complexity is very high. To address those issues, the new method is proposed. The proposed algorithm has high resolution capabilities and has lower computational complexity than conventional PM. Its computational complexity significantly reduces by using the method of finding the root of polynomial instead of the spectral peak searching and the eigenvalue decomposition. Theoretical analysis and computer simulation results show that the proposed method is effective.

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Two-Dimensional ESPRIT-Like Shift-Invariant TOA Estimation Algorithm Using Multi-Band Chirp Signals Robust to Carrier Frequency Offset

Cited by 34 publications

References 28 publications

Timing and carrier synchronization in wireless communication systems: a survey and classification of research in the last 5 years

Timing and carrier synchronization in wireless communication systems: a survey and classification of research in the last 5 years

An Efficient Direct Position Determination Algorithm Combined with Time Delay and Doppler

Root-MUSIC Time Delay Estimation Based on Propagator Method

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