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The DOA estimation problem for wideband signals has attracted much attention in the past years, and how to utilize and derive the common DOA information among frequency bins is the essential question. We address the wideband DOA estimation problem in this paper, and to solve this problem we propose a joint sparse Bayesian learning algorithm based on the sparse signal representation (SSR) of the covariance...
This paper introduces the basic theory and method of compressed sensing, and its application in DOA estimation. The theory uses a new sampling method through sparse sampling and reconstruction of the signal to break through the limitation of the Nyquist sampling theorem, effectively solving the inherent shortcomings of classic spatial spectrum estimation algorithms.
SAR Tomography (TomoSAR) regards multi-baseline observation data as array observation data and realizes three-dimensional imaging by applying direction of arrival (DOA) estimation processing. To improve angular resolution of the TomoSAR with suppressing ambiguity, many repeat-pass data are required. However, it is often difficult to increase the number of data because of the cost. In this paper, we...
In this paper, we consider the direction-of-arrivals (DOAs) estimation of coherent narrowband signals impinging on an arbitrary linear array in a computational efficient way. A new interpolation transform based modified Capon beam-forming method is proposed without eigendecomposition, where the arbitrary linear array is transformed to a virtual uniform linear array (ULA) by utilizing the interpolation...
In this paper, a beamforming system for LTE- Advanced based on Array sampling technology is proposed. Antenna Array that has been designed covers LTE mid and high bands. RF multiplexer 8x1 switch has been designed and simulated. The system is composed of agile RF frontend and FPGA digital signal processing unit.
In order to solve the coherent problem of Orthogonally Matched(OMP) Pursuit algorithm in sparse reconstruction, the feature vector corresponding to large eigenvalue of SVD is constructed by using received data, and two improved methods are proposed. Both methods reconstruct the angle through the feature vector, and can reconstruct the angle information accurately without knowing the number of the...
In this paper, we propose a novel array interpolation method in logarithmic domain for enhanced direction of arrival (DOA) estimation. Array interpolation techniques are broadly utilized in the DOA estimation for achieving better angular resolution. Generally, to generate interpolated array elements from original array elements, the method of linear least squares (LLS) has been used. When we use the...
The estimator bank approach allows improving the performance of direction of arrival (DOA) estimation in the area of low signal-to-noise ratio. In the paper, the estimator bank is formed from the modified Beamspace Root-MUSIC estimator using resampling by adding pseudo-noise. The illumination of outlying roots of the modified beamspace Root-MUSIC polynomial is used instead of elimination of entire...
Direct position determination (DPD) determines the target localization directly from the raw observations, which is superior to traditional methods estimating related parameters firstly. However, DPD is based on maximum likelihood (ML) estimator with large data transmission and computational cost. In this paper, we develop low complexity beamspace DPD (BS-DPD), converting the raw data into beamspace...
Subspace techniques are widely used for direction of arrival (DOA) problems in telecommunications and position location applications for estimating the location of sources from where the signal is originated. This source estimation problem is analogues to the source estimation problem in EEG signal processing commonly termed as EEG inverse problem. The EEG inverse problem goes for estimation of active...
In this paper, a new algorithm to suppress the interferences for Direction-of-Arrival(DOA) estimation is presented. The method is based on the property of the noise subspace invariant to power of emitters. With theoretical analysis and computer simulations, it is shown that the proposed method has a good performance on signal DOA estimation under disturbances.
This paper deals with the near-field DOA-Matrix method for source localization using a uniform linear array antenna. In general, the mutual coupling between array elements degrades the DOA estimation accuracy. In this paper, we investigate the influence of mutual coupling in source localization using the near-field DOA-Matrix method and the improved method.
Khatri-Rao (KR) product increases the number of elements virtually and enables to estimate more incoming waves in direction-of-arrival (DOA) estimation using array antenna. The DOA estimation with the KR scheme, however, makes the estimation difficult because the scheme makes the data coherent. The sparse signal reconstruction is a method realizing the DOA estimation regardless of the signal correlation...
Advancements in high level integration of MMIC in package have led to the development of a system comprising of a multi-channel transceiver with antenna in package (AiP). Multi-channel systems provide additional advantage by enabling digital beamforming for direction of arrival estimation at 60 GHz. Different beamforming techniques are studied and practically implemented with a radar platform to find...
This paper addresses a novel direction-of-arrival (DOA) estimation method for noncircular sources, such as BPSK and OQPSK modulated signals, in the presence of multipath propagation. The group steering vector of each coherent group is obtained first, and then both forward and backward group steering vectors are exploited to estimate the DOAs of the corresponding group by constructing a composite matrix...
In this paper, we modify the classic manifold separation technique (MST), aiming to reduce its dependence on high signal-to-noise ratio (SNR) measuring environment. According to the analysis of the array response, it is demonstrated that to maintain a correct phase relationship between the received data at different calibration angles is indispensable for the application of MST. Thus, we slightly...
Antenna calibration is a mandatory requirement to determine the attitude of a multi-antenna receiver. Moreover, knowing the antenna attitude can vastly improve detection and mitigation of spoofers and / or Radio Frequency Interferences (RFIs). In todays receivers the time-varying phase offset introduced by the active elements like amplifiers, downconverters as well as various filters and unequal cable...
The paper considers the problem of how to simultaneously estimate the direction-of-arrival (DOA) of a source signal and the phase error of a uniform linear array (ULA). We introduce a new method to estimate those parameters for a partly calibrated ULA. As its name suggests, partly calibrated ULA means a array with some of its sensor elements have been calibrated. In particular, our method can be well...
In this work, the direction finding of coherently distributed (CD) sources using a uniform linear array (ULA) is investigated. Conventional DSPE algorithm for localization of CD sources requires an extensive two-dimensional search of nominal DOAs and angular spreads. The proposed algorithm exploits the propagator, which is a linear operator that can be easily estimated from the received data, to identify...
Appropriate signal model derivation for transmitter and receiver can achieve side lobe reduction in phased array antenna and can also be used to accurately determining direction of arrival (DOA). Dolph-Chebyshev array structure is used for null placing in the antenna radiation pattern. This structure ensures nulls have been placed at proper positions to jam the interferers. For this purpose, interferers...
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