2-D DOA Estimation of LFM Signals Based on Dechirping Algorithm and Uniform Circle Array

Cui, Kaibo; Wu, Weiwei; Chen, X.; Huang, Jingjian; Yuan, Naichang

doi:10.13164/re.2017.0299

Cited by 6 publications

(3 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Direction of arrival (DOA) estimation is widely used at radar, speech, sonar, communication and other detection equipment [1][2][3][4][5]. For the narrowband signals, traditional subspace algorithms which include the multiple signal classification (MUSIC) algorithm [1] and the estimation of signal parameters via rotational invariance techniques (ESPRIT) [2] have been verified as efficient estimation techniques.…”

Section: Introductionmentioning

confidence: 99%

DOA Estimation of LFM Signal Based on Single-Source Time-Frequency Points Selection Algorithm by Using the Hough Transform

Zhang¹,

Cui²,

Wu³

et al. 2019

RADIOENGINEERING

Self Cite

View full text Add to dashboard Cite

Direction of arrival (DOA) estimation performance may degrade substantially when linear frequency modulation (LFM) signals are spectrally-overlapped in time-frequency (TF) domain. In order to solve this problem, the single-source TF points selection algorithm based on Wigner-Ville distribution (WVD) and Hough transform is studied in this paper. Firstly, the signal intersections in TF domain can be solved based on the Hough transform. Secondly, by removing multiple-source TF points at intersections according to the empirical threshold value which is calculated by using the statistical experiment method, we can get single-source TF points set. Then, based on the Euclidean distance operator, single-source TF points set belonging to each signal can be obtained according to the property that TF points of the same signal have the same eigenvector. Finally, the averaged spatial TF distribution matrix is constructed and DOA estimation is realized based on the multiple signal classification (MUSIC) algorithm. In this way, the proposed algorithm can resolve the TF non-disjoint LFM signals because it can automatically select single-source TF points set of each signal. Simulation results illustrate that the proposed algorithm possesses higher angular resolution and has pretty good DOA estimation precision compared with existing algorithms.

show abstract

Section: Introductionmentioning

confidence: 99%

DOA Estimation of LFM Signal Based on Single-Source Time-Frequency Points Selection Algorithm by Using the Hough Transform

Zhang¹,

Cui²,

Wu³

et al. 2019

RADIOENGINEERING

Self Cite

View full text Add to dashboard Cite

show abstract

“…e signal can be processed according to the aggregation of the LMF signal in the FrFT domain. So far, FrFT is mainly used in DOA [8] to estimate the DOA of wideband LFM signals instead of FFT [9], detect moving target [10], underwater communications [11], and so on. In frame design, Wang et al [12] exploited the wireless channel response and FrFT to achieve anti-eavesdropping downlink transmission over a multipath channel.…”

Section: Introductionmentioning

confidence: 99%

Research on a Unified Framework Based on Linear Frequency Modulation and Orthogonal Frequency-Division Multiplexing

Zhang

Qin

et al. 2019

Journal of Computer Networks and Communications

View full text Add to dashboard Cite

This paper proposes a unified system framework based on linear frequency modulation (LFM) and orthogonal frequency-division multiplexing (OFDM) as a solution for resource sharing, especially sharing space and hardware. The proposed OFDM-LFM framework can not only transmit data flow by OFDM but also make it possible to extract features from the signal by LFM. Further, the signal features are used to construct a pseudospectrum related to the target speed and distance, thereby estimating the speed and distance of the target. Unified means using signal features to estimate target speed and distance while ensuring data transmission including communication and remote control data information. Besides the traditional data transmission mode, the ability of estimating target speed and distance is an additional benefit. The proposed unified framework makes control of transmission easier and saves more hardware resources. The simulation results show that the proposed LFM-OFDM framework can not only transmit data information including communication and remote control data information, but also estimate the speed and distance of the target by its signal features.

show abstract

“…Linear frequency-modulated (LFM), or chirp, signals are frequently encountered in applications such as radar, sonar, bioengineering, and so forth. So the DOA estimation of LFM signals also has become a hot issue in array signal processing [9][10][11][12][13][14][15][16][17]. As we know, time-frequency (t-f) analysis tools are effective tools to deal with LFM signals because of the concentration property of the signals in the t-f domain, so a series of DOA estimation algorithms based on spatial time-frequency distributions (STFDs) have been proposed [18][19][20][21][22][23][24].…”

Section: Introductionmentioning

confidence: 99%

DOA Estimation of Multiple LFM Sources Using a STFT-based and FBSS-based MUSIC Algorithm

Cui¹,

Chen²,

Huang³

et al. 2017

RADIOENGINEERING

Self Cite

View full text Add to dashboard Cite

Abstract. Direction of arrival (DOA) estimation is an important problem in array signal processing. An effective multiple signal classification (MUSIC) method based on the short-time Fourier transform (STFT) and forward/ backward spatial smoothing (FBSS) techniques for the DOA estimation problem of multiple time-frequency (t-f) joint LFM sources is addressed. Previous work in the area e. g. STFT-MUSIC algorithm cannot resolve the t-f completely or largely joint sources because they can only select the single-source t-f points. The proposed method constructs the spatial t-f distributions (STFDs) by selecting the multiple-source t-f points and uses the FBSS techniques to solve the problem of rank loss. In this way, the STFT-FBSS-MUSIC algorithm can resolve the t-f largely joint or

show abstract

2-D DOA Estimation of LFM Signals Based on Dechirping Algorithm and Uniform Circle Array

Cited by 6 publications

References 38 publications

DOA Estimation of LFM Signal Based on Single-Source Time-Frequency Points Selection Algorithm by Using the Hough Transform

DOA Estimation of LFM Signal Based on Single-Source Time-Frequency Points Selection Algorithm by Using the Hough Transform

Research on a Unified Framework Based on Linear Frequency Modulation and Orthogonal Frequency-Division Multiplexing

DOA Estimation of Multiple LFM Sources Using a STFT-based and FBSS-based MUSIC Algorithm

Contact Info

Product

Resources

About