Adaptive digital beamforming for angle estimation in jamming

Yu, Kai-Bor; Murrow, D. J.

doi:10.1109/7.937465

Cited by 107 publications

(20 citation statements)

References 16 publications

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“…As illustrated in Fig. 4a, b, the output SINR of conventional LCMV algorithm [6] deteriorates obviously due to the look direction error; However, the output SINR of the proposed algorithm can converge quickly even when there exist additional interferences in the snapshots after t = 1000. Comparing Fig.…”

Section: Numerical Simulations and Discussionmentioning

confidence: 99%

“…For conventional LCMV-based monopulse algorithm [6], the response in the pattern look direction is constrained, and the output power of the beamformer is minimized. If there are no look direction errors, the beamformer can provide the optimal SNR.…”

Section: Problem Modelmentioning

confidence: 99%

“…The distortion obviously deteriorates angle estimation accuracy. In the rest of this paper, we use coventional LCMV algorithm to represent the conventional LCMVbased monopulse algorithm presented in [6].…”

Section: Problem Modelmentioning

confidence: 99%

“…For conventional LCMV-based monopulse beamformer [6], the constraint C s and corresponding response f s of the sum beam are constructed as…”

Section: Robust Lcmv Beamformer With Main Lobe Maintenance Constraintmentioning

confidence: 99%

“…Then he systematically analyzes the performance of the adaptive monopulse technique and extends it to space-time processing [2][3][4][5]. The monopulse angle estimation in presence of main lobe interference is discussed in [6], and a four-channel monopulse framework is proposed. The monopulse angle tracking problem in electronic countermeasures or jamming is investigated in [7].…”

Section: Introductionmentioning

confidence: 99%

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Robust adaptive monopulse algorithm based on main lobe constraints and subspace tracking

Qiu

Sheng

et al. 2017

EURASIP J. Adv. Signal Process.

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In continuous wave (CW) radar and high pulse repetition frequency pulse-Doppler (HPRF-PD) radar, the interference plus noise sample snapshots are hard to be obtained. The desired signal in the received snapshots makes the LCMV-based adaptive monopulse algorithm sensitive to pattern look direction error. A linearly constrained subarray robust adaptive monopulse algorithm based on main lobe maintenance constraint and subspace tracking is developed in this paper. The constraint of main lobe maintenance is obtained by signal subspace projection. The bi-iterative least-square (Bi-LS) subspace tracking is used to update the signal subspace, and a power-associated method is developed to determine the dimension of the projection subspace automatically. The proposed robust adaptive monopulse algorithm can achieve high-angle estimation accuracy and good robustness to look direction error while expending only one additional degree of freedom compared to conventional LCMV-based method.Keywords: Robust adaptive monopulse algorithm, Main lobe maintenance, Subspace tracking, Dimension estimation BackgroundThe monopulse technique is utilized to perform high precision angle estimation for tracking radars. The target's angle is estimated using the ratio of difference to sum beam outputs, called monopulse ratio. Because of the linearity of monopulse ratio in 3dB beamwidth, the target's angle can be estimated bywhere θ 0 and θ s are the angle of the pattern look direction and the target direction, respectively, g (·) is the monopulse ratio, and K θ is the slope of the monopulse ratio.The adaptive array processing is first applied to monopulse technique by Davis [1]. The adaptive monopulse uses adaptive beamforming to form the sum and difference beams and suppress the spatial interferences. For the large-scale adaptive array, computation load and high data rate are two main bottlenecks for realization of the adaptive monopulse method. Subarrray *Correspondence: maxiaofeng@njust.edu.cn School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China adaptive monopulse method can effectively alleviate such pressures and ensure angle estimation performance when limited number of interferences exist. An example of the subarray geometry is illustrated in Fig. 1a, in which regular and irregular subarray geometries are comprised. Nickel extends the adaptive monopulse technique to subarray and arbitrary array geometries and provides modified formulas of monopulse ratio. Then he systematically analyzes the performance of the adaptive monopulse technique and extends it to space-time processing [2][3][4][5].

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Section: Numerical Simulations and Discussionmentioning

confidence: 99%

Section: Problem Modelmentioning

confidence: 99%

Section: Problem Modelmentioning

confidence: 99%

“…For conventional LCMV-based monopulse beamformer [6], the constraint C s and corresponding response f s of the sum beam are constructed as…”

Section: Robust Lcmv Beamformer With Main Lobe Maintenance Constraintmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Robust adaptive monopulse algorithm based on main lobe constraints and subspace tracking

Qiu

Sheng

et al. 2017

EURASIP J. Adv. Signal Process.

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Performance evaluation of distributed‐antenna communications systems using beam‐hopping

Zhu

Yang

2005

Wireless Communications

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SummaryDigital beamforming (DBF) techniques are capable of improving the performance of communications systems significantly. However, if the transmitted signals are conflicted with strong interference especially in the direction of the transmitted beams, these directional jamming signals will severely degrade the system performance. In order to efficiently mitigate the interference of the directional jammers, in this contribution a beam-hopping (BH) communications scheme is studied. In the BH communications scheme, only one pair of the beams is used for transmission and it hops from one to the next according to an assigned BH pattern. In this contribution, a range of expressions in terms of the average signal to interference plus noise ratio (SINR) performance have been derived, when both the uplink and downlink are considered. The average SINR performance of the BH scheme and that of the conventional single-beam (SB) as well as multiple-beam (MB) assisted beam-processing schemes have been investigated. Our analysis and results show that the BH scheme is capable of efficiently combating the directional jamming, with the aid of utilizing the directional gain of the beams generated by both the transmitter and the receiver. Furthermore, the BH scheme is capable of reducing the intercept probability of the communications. Therefore, the BH scheme is suitable for communications when several distributed antenna arrays are available around a mobile.

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Maximum-Output-Power Beamforming Despite No Prior Information About the Signals-of-Interest Nor Possibly About the Interference

Yu-hua

Wong

2020

Circuits Syst Signal Process

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Adaptive digital beamforming for angle estimation in jamming

Cited by 107 publications

References 16 publications

Robust adaptive monopulse algorithm based on main lobe constraints and subspace tracking

Robust adaptive monopulse algorithm based on main lobe constraints and subspace tracking

Performance evaluation of distributed‐antenna communications systems using beam‐hopping

Maximum-Output-Power Beamforming Despite No Prior Information About the Signals-of-Interest Nor Possibly About the Interference

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