A 16-Element 2.4-GHz Multibeam Array Receiver Using 2-D Spatially Bandpass Digital Filters

Pulipati, Sravan; Madanayake, Arjuna; Wijesekara, Ravi T.; Edussooriya, Chamira U. S.; Bruton, L.T.

doi:10.1109/taes.2019.2906089

Cited by 14 publications

(3 citation statements)

References 35 publications

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“…Fullwave electromagnetic simulations using real antenna models confirm that the proposed wideband transmit beamformer can achieve multibeam transmission in the frequency range of 1.3-2.8 GHz, with more than 70% fractional bandwidth. Importantly, the proposed transmit beamformer provides considerable reduction in the computational complexity compared with nonsparse filter-and-sum transmit beamformers [34][35][36], 2-D nonsparse FIR filters [37][38][39][40][41][42], and 2-D sparse FIR filter [32], without deteriorating beam directionality and causing increases in the side-lobe level. Furthermore, the computational efficiency of our sparse FIR filter design makes them suitable for real-time beamforming applications in wideband systems, while the linear phase response within the passband of the filter contributes to maintaining signal fidelity during beam steering.…”

Section: Proposed 2-d Fir Transmit Beamformermentioning

confidence: 99%

Multibeam Wideband Transmit Beamforming Using 2D Sparse FIR Trapezoidal Filters

Dissanayake,

Edussooriya,

Wijenayake

et al. 2024

JLPEA

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A low-complexity multibeam wideband transmit beamformer using a 2D sparse FIR filter design capable of multiple beams is proposed as a digital building block for fully digital beamformers. The 2D sparse FIR filter has multiple trapezoid-shaped passbands pertaining to wideband beams aimed at particular directions. The proposed multibeam digital beamformer drives a uniform linear array of wideband antenna elements to achieve the wideband multibeam transmit-mode signals desired by the communication system. The 2D sparse FIR filter is designed to be optimal in the minimax sense using convex optimization techniques. Full-wave electromagnetic simulations using real antenna models confirm that the proposed wideband transmit beamformer can achieve multibeam transmission in the 1.3–2.8 GHz frequency range, with more than 70% fractional bandwidth. Furthermore, the adoption of the wideband transmit multibeam beamformer leads to a significant reduction in digital arithmetic (computational) complexity compared with previously reported wideband transmit beamformers of similar transfer function type, without deteriorating beam directionality and causing increases in the side-lobe level. The proposed sparse 2D FIR multibeam beamformer architecture is well-suited for both sub-6 GHz (legacy) band transmit beamforming, frequency range three (FR3) beamforming up to 28 GHz, and mmWave operation for emerging 5G/6G applications.

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Section: Proposed 2-d Fir Transmit Beamformermentioning

confidence: 99%

Multibeam Wideband Transmit Beamforming Using 2D Sparse FIR Trapezoidal Filters

Dissanayake,

Edussooriya,

Wijenayake

et al. 2024

JLPEA

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“…Categorized into analog, subarray digital, and element-level digital topologies [1], phased array systems accomplish spatial filtering and power combination through the synchronous excitation of each radiating element. In particular, element-level digitization provides opportunities for sophisticated signal processing and simultaneous reception of multiple beams, which are absent in both analog and subarray digital topologies [2][3][4][5][6][7][8]. Directional and fast-scanning characteristics render phased arrays an attractive approach for various applications, including field surveillance, wireless communication, and electronic warfare [9].…”

Section: Introductionmentioning

confidence: 99%

An X-Band CMOS Digital Phased Array Radar from Hardware to Software

Chou

et al. 2021

Sensors

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Phased array technology features rapid and directional scanning and has become a promising approach for remote sensing and wireless communication. In addition, element-level digitization has increased the feasibility of complicated signal processing and simultaneous multi-beamforming processes. However, the high cost and bulky characteristics of beam-steering systems have prevented their extensive application. In this paper, an X-band element-level digital phased array radar utilizing fully integrated complementary metal-oxide-semiconductor (CMOS) transceivers is proposed for achieving a low-cost and compact-size digital beamforming system. An 8–10 GHz transceiver system-on-chip (SoC) fabricated in 65 nm CMOS technology offers baseband filtering, frequency translation, and global clock synchronization through the proposed periodic pulse injection technique. A 16-element subarray module with an SoC integration, antenna-in-package, and tile array configuration achieves digital beamforming, back-end computing, and dc–dc conversion with a size of 317 × 149 × 74.6 mm3. A radar demonstrator with scalable subarray modules simultaneously realizes range sensing and azimuth recognition for pulsed radar configurations. Captured by the suggested software-defined pulsed radar, a complete range–azimuth figure with a 1 km maximum observation range can be displayed within 150 ms under the current implementation.

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“…For 2-D complex-coefficient FIR filters, the least-squares and the minimax design methods were proposed in [23] and [36], [42], respectively. Furthermore, the windowing method has been employed in [39]- [41] for 2-D and in [13] for 3-D complexcoefficient FIR filters. However, little work has been done towards the design of M-D complex-coefficient FIR filters having arbitrary frequency responses compared to those having symmetric frequency responses.…”

Section: Introductionmentioning

confidence: 99%

WLS Design of M-D Complex-Coefficient FIR Filters with Low Group Delay Using Second-Order Cone Programming

Pakiyarajah

Jayaweera

Edussooriya

et al. 2021

2021 IEEE International Symposium on Circuits and Systems (ISCAS)

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We propose a weighted least-squares (WLS) design method for multi-dimensional (M-D) complex-coefficient finiteextent impulse response (FIR) filters. We consider the general form of M-D FIR filters having arbitrary frequency responses and low group delays. We formulate the proposed WLS design as a second-order cone programming problem. Design examples confirm that the proposed method provides the state-of-the-art M-D FIR filter designs with almost constant group delay.Index Terms-Multi-dimensional, complex-coefficient, FIR filters, least-squares design, second-order cone programming.

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A 16-Element 2.4-GHz Multibeam Array Receiver Using 2-D Spatially Bandpass Digital Filters

Cited by 14 publications

References 35 publications

Multibeam Wideband Transmit Beamforming Using 2D Sparse FIR Trapezoidal Filters

Multibeam Wideband Transmit Beamforming Using 2D Sparse FIR Trapezoidal Filters

An X-Band CMOS Digital Phased Array Radar from Hardware to Software

WLS Design of M-D Complex-Coefficient FIR Filters with Low Group Delay Using Second-Order Cone Programming

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