Compressive sensing‐based coprime array direction‐of‐arrival estimation

Zhou, Chengwei; Gu, Yujie; Zhang, Yimin D.; Shi, Zhiguo; Tao, Jin; Wu, Xuecheng

doi:10.1049/iet-com.2016.1048

Cited by 178 publications

(72 citation statements)

References 31 publications

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“…We consider a typical mmWave massive MIMO system, where the BS uses a 32-element ULA and 11 RF chains to serve a single-antenna user. The antenna selection strategy at BS is chosen as Ω = {1, 2, 3,4,5,6,7,8,16,24, 32} according to Considering that the channel is fast time-varying, we only collect 5 snapshots for joint AoA and Doppler estimation, which is smaller than the number of paths. The estimates of both AoAs and Doppler shifts are provided in Fig.…”

Section: Numerical Resultsmentioning

confidence: 99%

Joint Doppler and Channel Estimation with Nested Arrays for Millimeter Wave Communications

Zhu

Lin

2018

2018 IEEE Global Communications Conference (GLOBECOM)

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Channel estimation is essential for precoding/combining in millimeter wave (mmWave) communications. However, accurate estimation is usually difficult because the receiver can only observe the low-dimensional projection of the received signals due to the hybrid architecture. We take the high speed scenario into consideration where the Doppler effect caused by fast-moving users can seriously deteriorate the channel estimation accuracy. In this paper, we propose to incorporate the nested array into analog array architecture by using RF switch networks with an objective of reducing the complexity and power consumption of the system. Based on the covariance fitting criterion, a joint Doppler and channel estimation method is proposed without need of discretizing the angle space, and thus the model mismatch effect can be totally eliminated. We also present an algorithmic implementation by solving the dual problem of the original one in order to reduce the computational complexity. Numerical simulations are provided to demonstrate the effectiveness and superiority of our proposed method.

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Section: Numerical Resultsmentioning

confidence: 99%

Joint Doppler and Channel Estimation with Nested Arrays for Millimeter Wave Communications

Zhu

Lin

2018

2018 IEEE Global Communications Conference (GLOBECOM)

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“…Imperfect Estimation of the LUs' Directions In the proposed DM scheme, the directions of K LUs are assumed to be a-priori known for the BS. However, in practical applications, the directions of the LUs are usually obtained by utilizing high-resolution direction of arrival (DOA) estimation algorithms such as [43][44][45]. Even though, there still exits an estimated error in the directional information inevitably.…”

Section: Metricsmentioning

confidence: 99%

Directional Modulation Technique Using a Polarization Sensitive Array for Physical Layer Security Enhancement

Zhang

et al. 2019

Preprint

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Directional modulation (DM), as an emerging promising physical layer security (PLS) technique at the transmitter side with the help of an antenna array, has developed rapidly over decades. In this study, a DM technique using a polarization sensitive array (PSA) to produce the modulation with different polarization states (PSs) at different directions is investigated. A PSA, as a vector sensor, can be employed for more effective DM for an additional degree of freedom (DOF) provided in the polarization domain. The polarization information can be exploited to transmit different data streams simultaneously at the same directions, same frequency, but with different PSs in the desired directions to increase the channel capacity, and with random PSs off the desired directions to enhance PLS. The proposed method has the capability of concurrently projecting independent signals into different speciﬁed spatial directions while simultaneously distorting signal constellation in all other directions. The symbol error rate (SER), secrecy rate, and the robustness of the proposed DM scheme are analyzed. Design examples for single- and multi-beam DM systems are also presented. Simulations corroborate that 1) the proposed method is more effective for PLS; 2) the proposed DM scheme is more power-efﬁcient than the traditional artiﬁcial noise aided DM schemes; and 3) the channel capacity is signiﬁcantly improved compared with conventional scalar antenna arrays.

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“…The multiple-input and multiple-output (MIMO) technique radar can be broadly applied to the direction-of-arrival (DOA) estimation [21][22][23][24] and wide-swath imaging [25] in a big way. Further, a newer system, so-called coprime array, becomes a key technology enabling a huge number of applications, including the DOA [26,27], and adaptive beamforming [28], and the orthogonality between the subcarriers of the OFDM signal can provide frequency diversity for the waveform of these array structures. By reason that the spectral components of an OFDM signal are orthogonal to each other, multiple packets of data can be sent simultaneously without mutual interference, each spectral component as a carrier transporting its corresponding data packet in time and frequency domains.…”

Section: Introductionmentioning

confidence: 99%

ECCM Schemes against Deception Jamming Using OFDM Radar with Low Global PAPR

Wang

Zhang

Wang

et al. 2020

Sensors

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In this paper, a type of effective electronic counter-countermeasures (ECCM) technique for suppressing the high-power deception jamming using an orthogonal frequency division multiplexing (OFDM) radar is proposed. Concerning the velocity deception jamming, the initial phases of the pulses transmitted in a coherent processing interval (CPI) are designed to minimize the jamming power within a specific range, forming a notch around the jamming in the Doppler spectrum. For the purpose of suppressing the range deception jamming and the joint range-velocity deception jamming, the phase codes of the subcarriers belonging to the OFDM pulses are optimized to minimize the jamming power, distributing some specific bands in the range and the range-velocity domain, respectively. According to Parseval's theorem, the phase encoding, acting as the coding manner of the OFDM subcarriers can ensure that the energy of each OFDM symbol stays the same. It is worth noticing that the phase codes of the OFDM subcarriers can influence the peak-to-average power ratio (PAPR). Thus, an optimization problem is formulated to optimize the phase codes of the subcarriers under the constraint of global PAPR, which can regulate the PAPRs of multiple OFDM symbols at the same time. The proposed problem is non-convex; therefore, it is a huge challenge to tackle. Then we present a method named by the phase-only alternating direction method multipliers (POADMM) to solve the aforementioned optimization problem. Some necessary simulation results are provided to demonstrate the effectiveness of the proposed radar signaling strategy 4 of 26 norm. In addition, arg{x} denotes the phase vector of x.|·|, {·} and {·} are the magnitude, real part, and image part of a complex-valued input. The operators ⊕ and ⊗ are the Hadamard operator and Kronecker product operator, respectively. Let I, 1, and 0 denote the identity matrix, matrix of 1 and zero matrix (their size is determined from the context). The operators, Diag(·) and diag(·), are, respectively, the diagonal matrices formed by the entries of the vector argument and the column vector containing the principal diagonal of the matrix argument. denotes the gradient operator and vec(·) represents the vectorization of an input matrix.

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Compressive sensing‐based coprime array direction‐of‐arrival estimation

Cited by 178 publications

References 31 publications

Joint Doppler and Channel Estimation with Nested Arrays for Millimeter Wave Communications

Joint Doppler and Channel Estimation with Nested Arrays for Millimeter Wave Communications

Directional Modulation Technique Using a Polarization Sensitive Array for Physical Layer Security Enhancement

ECCM Schemes against Deception Jamming Using OFDM Radar with Low Global PAPR

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