Covariance-Based Direction-of-Arrival Estimation of Wideband Coherent Chirp Signals via Sparse Representation

Sha, Zhi-Chao; Liu, Zhengmeng; Huang, Zhitao; Zhou, Yiyu

doi:10.3390/s130911490

Cited by 10 publications

(11 citation statements)

References 14 publications

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“…The simulations use the relative frequency error (RFE) to analyze the frequency estimation performance of the FH signals. The RFE of the frequency estimation can be modeled as: (27) where N denotes the number of experiments;f h n denotes the frequency estimation of the nth experiment; and f s denotes the sampling rate. The weighting factor here is ρ = 4 and the wrong channel estimation is eliminated.…”

Section: Channel Detectionmentioning

confidence: 99%

“…Several methods for compressive detection were proposed, which assume that the signal can be sparsely represented in the known dictionaries [22,23]. Some other methods take advantage of the CS theory for further processing of FHSS signals [24][25][26][27]. However, the major difficulties in using the CS theory for processing of FHSS signals are described as follows:…”

Section: Introductionmentioning

confidence: 99%

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Detection and Frequency Estimation of Frequency Hopping Spread Spectrum Signals Based on Channelized Modulated Wideband Converters

2018

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It is challenging to detect and track frequency hopping spread spectrum (FHSS) signals due to their wideband frequencies and the limitations of current hardware. In the implementation, there has been a trend of conducting compressive sensing for blind signal processing of FHSS signals. The modulated wideband converter (MWC) is a type of sub-Nyquist sampling system, which accomplishes the recovery of highly accurate broadband sparse signals by multichannel sub-Nyquist sampling sequences. However, it is difficult to adjust MWC to FHSS signals, because the support set and sparsity change with the hop. In this paper, we propose a channelized MWC scheme in order to solve these problems. First, the proposed method distributes the sub-bands to different channels. We can derive and refresh the frequency support set rapidly without recovery. Secondly, by reconstructing the low-pass filter and decimation, we reduced the computational cost to 1/m as the traditional m-channel MWC scheme, where m is the number of channels. Moreover, we propose a series of strategies to estimate carrier frequency. The numerical simulations show that our method can detect the channel, which contains FHSS signals in the case of a low signal-to-noise ratio. Furthermore, the estimation method leads to the successful estimation of the FHSS carrier frequency. This indicates that our method is also effective in the broadband non-cooperative spectrum sensing.

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Section: Channel Detectionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Detection and Frequency Estimation of Frequency Hopping Spread Spectrum Signals Based on Channelized Modulated Wideband Converters

2018

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“…However, as the LFM signal belongs to a typical non-stationary signal, the traditional subspace algorithms which are based on the stationary signals cannot be applied to such condition. With the development of signal processing technology, people have developed a series of DOA estimation algorithms suitable for wideband signals [13][14][15][16][17][18][19]. In [13], the author uses a triangular array to realize DOA estimation of broadband LFM signals.…”

Section: Introductionmentioning

confidence: 99%

“…The algorithm shows a good ability to estimate a number of sources that exceed the number of sensors in the array. In [15][16][17][18][19], people use the sparse matrix theory to realize DOA estimation of wideband signals. Since Amin introduces the time-frequency analysis tool to DOA estimation field in 1999 [20], [21], people also have developed a series of DOA estimation algorithms based on the time-frequency analysis tool.…”

Section: Introductionmentioning

confidence: 99%

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

Cui¹,

Wu²,

Chen³

et al. 2017

RADIOENGINEERING

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Based on Dechirping algorithm and uniform circle array (UCA), a new 2-D direction of arrival (DOA) estimation algorithm of linear frequency modulation (LFM) signals is proposed in this paper. The algorithm uses the thought of Dechirping and regards the signal to be estimated which is received by the reference sensor as the reference signal and proceeds the difference frequency treatment with the signal received by each sensor. So the signal to be estimated becomes a single-frequency signal in each sensor. Then we transform the single-frequency signal to an isolated impulse through Fourier transform (FFT) and construct a new array data model based on the prominent parts of the impulse. Finally, we respectively use multiple signal classification (MUSIC) algorithm and rotational invariance technique (ESPRIT) algorithm to realize 2-D DOA estimation of LFM signals. The simulation results verify the effectiveness of the algorithm proposed.

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“…In the literature, various estimators have been developed such as linear prediction-based method, 1 the maximum likelihood (ML) method, 2-6 estimation of signal parameters via rotational invariance technique-based algorithms, [7][8][9][10][11][12] multiple signal classification (MUSIC)-based algorithms, [13][14][15][16] and united estimation algorithm based on compressed sensing. 17,18 The ML method is an optimal estimation method, which requires multidimensional exhaustive search. For this reason, the application of this method is restricted by the large computational complexity in practice.…”

Section: Introductionmentioning

confidence: 99%

Joint DOA and Doppler frequency estimation of coherent and/or same‐direction signals

Shan

Xiaosong

Wang

et al. 2017

Int J Communication

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The smart antenna is one of the most attractive technologies in mobile communications. In this paper, a modified 2D multiple signal classification (MUSIC) algorithm based on eigenspace is presented to jointly estimate the directions of arrival and Doppler frequencies for the coherent and/or same-direction signals. First, a modified 2D MUSIC (MMUSIC) algorithm is provided using the conjugate data to cope with the estimation for the case of coherent signals and/or same-direction signals. Then on this basis, we derive an eigenspacebased MMUSIC (ES-MMUSIC) algorithm, which uses the information of both signal and noise subspaces. The ES-MMUSIC algorithm can also estimate signals power. Besides, this method has no influence on directions of arrival and Doppler frequencies estimation of uncorrelated signals; in the meanwhile, the computational complexity will have no obvious increase as well. Finally, the results of several contrastive numerical simulations demonstrate the superiority of the ES-MMUSIC algorithm compared with the MMUSIC algorithm.

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Covariance-Based Direction-of-Arrival Estimation of Wideband Coherent Chirp Signals via Sparse Representation

Cited by 10 publications

References 14 publications

Detection and Frequency Estimation of Frequency Hopping Spread Spectrum Signals Based on Channelized Modulated Wideband Converters

Detection and Frequency Estimation of Frequency Hopping Spread Spectrum Signals Based on Channelized Modulated Wideband Converters

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

Joint DOA and Doppler frequency estimation of coherent and/or same‐direction signals

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