Joint carrier frequency and DOA estimation using a modified ULA based MWC discrete compressed sampling receiver

Chen, Tao; Liu, Lizhi; Guo, Limin

doi:10.1049/iet-rsn.2017.0436

Cited by 15 publications

(7 citation statements)

References 24 publications

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“…According to the analysis of noise about MWC discrete CS structure in [11], it is known that the proposed system does not change the signal-to-noise ratio (SNR). Compared with the output of basic receiver proposed in [15] and [16], it is known that the new receiver has the same capabilities using less branches.…”

Section: Low-pass Filtermentioning

confidence: 99%

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A Sub-Nyquist Sampling Digital Receiver System Based on Array Compression

Chen¹,

Han²,

Yu³

2020

PIER Letters

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In order to obtain the carrier frequency (CF) and direction-of-arrival (DOA) estimation, a uniform linear array (ULA)-based modulated wideband converter (MWC) discrete compressed sampling (CS) digital receiver system is proposed. It can achieve sub-Nyquist sampling, save the storage space, and obtain the CF and DOA estimation by processing the CS data directly. However, the existing method for this system needs more branches to get better performance. In this paper, a compressed ULA (CULA)-based MWC discrete CS digital receiver system is proposed. First, a compression matrix is used to reduce the number of branches behind the antennas. Then, the MWC discrete CS structure is used to reduce the data volume. Finally, the multiple signal classification (MUSIC) algorithm is used to jointly estimate the CF and DOA by processing the CS data directly. The simulation results validate the effectiveness of the proposed system and the proposed method for the joint CF and DOA estimation.

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Section: Low-pass Filtermentioning

confidence: 99%

“…Subsequently, we corrected the phase and used the MUSIC algorithm to estimate the CF and AOA. In [16], we extended the structure proposed in [15] and obtained the better estimation. However, in order to improve the performance, more branches are needed.…”

Section: Introductionmentioning

confidence: 99%

A Sub-Nyquist Sampling Digital Receiver System Based on Array Compression

Chen¹,

Han²,

Yu³

2020

PIER Letters

Self Cite

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show abstract

“…Recently developed compressed sensing (CS) theories [8], [9] have resulted in new ideas for digital receiver [10]- [14]. Mishali and Eldar proposed a novel compressed sampling architecture for multiband signals called the modulated wideband converter (MWC) [15], and several MWC-based theories have been proposed to realize receiver structure [16]- [21]. Reference [16] design a hardware system of wideband digital reconnaissance receiver based on the MWC theory, and the receiver system has the ability of completing multi-signals acquisition, reconstruction and intra-pulse analysis simultaneously.…”

mentioning

confidence: 99%

“…And [20] propose a joint carrier frequency and direction of arrival (DOA) estimation method using a ULA-based MWC discrete compressed sampling structure. And a modified ULA based MWC discrete CS receiver where another branch is added in each antenna of the original ULA based system in order to estimate carrier frequency and DOA jointly is proposed in [21].…”

mentioning

confidence: 99%

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Intra-Pulse Modulation Recognition for Fractional Bandlimited Signals Based on a Modified MWC-Based Digital Receiver

Wang

Luo

2020

IEEE Access

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In this paper, we present a modified modulated wideband converter (MWC)-based digital receiver for fractional bandlimited signals, and further propose an intra-pulse modulation recognition method in discrete time fractional Fourier domain (DTFrFD) for the intercepted signals. The proposed digital receiver can move the cross-channel signal to the baseband and since the nonzero part of its available spectrum is narrower in DTFrFD than in discrete time Fourier domain (DTFD), so a better separation can be achieved by the proposed digital receiver than by original MWC-based receiver. Then, with the data acquired from the digital receiver, we propose an intra-pulse modulation recognition method based on the optimal transformation order and the spectral kurtosis (SK) in DTFrFD for the six types of fractional bandlimited signals. In this algorithm, the optimal transformation order is tested to distinguish the encoded signals from the non-encoded signals, and then the SK is tested to determine the intra-pulse modulation type specially. The computational complexity of the proposed method is much lower than search-based methods. Meanwhile, since the SK of Gaussian signals is zero in DTFrFD, the proposed method shows better robustness than the original MWC discrete compressive sampling structure against SNR variation. Simulation results confirm the obtained analytical results.INDEX TERMS Wideband digital receiver, modulated wideband converter, fractional Fourier transform, intra-pulse modulation recognition.

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A Compressed Sampling Receiver Based on Modulated Wideband Converter and a Parameter Estimation Algorithm for Fractional Bandlimited LFM Signals

Wang

Luo

2020

Circuits Syst Signal Process

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Joint carrier frequency and DOA estimation using a modified ULA based MWC discrete compressed sampling receiver

Cited by 15 publications

References 24 publications

A Sub-Nyquist Sampling Digital Receiver System Based on Array Compression

A Sub-Nyquist Sampling Digital Receiver System Based on Array Compression

Intra-Pulse Modulation Recognition for Fractional Bandlimited Signals Based on a Modified MWC-Based Digital Receiver

A Compressed Sampling Receiver Based on Modulated Wideband Converter and a Parameter Estimation Algorithm for Fractional Bandlimited LFM Signals

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