A Low-SWaP 16-Beam 2.4 GHz Digital Phased Array Receiver Using DFT Approximation

Coutinho, Vítor A.; Coelho, Diego F. G.; Pulipati, Sravan; Cintra, Renato J.; Madanayake, Arjuna; Bayer, Fábio M.; Dimitrov, Vassil S.

doi:10.1109/taes.2020.2987094

Cited by 15 publications

(5 citation statements)

References 15 publications

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“…Arumugam et al, 24 have presented an intuitive adaptive filter depending on fixed-point FIR and approximate distributed arithmetic circuits. The Booth approach permits partial products (pps) count for reducing in efficient manner by classifying consecutive bits.…”

Section: Literature Surveymentioning

confidence: 99%

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Adaptive FIR Filter Design with Approximate Adder and Hybridized Multiplier for Efficient Noise Eradication in Sensor Nodes

Immareddy,

Sundaramoorthy,

Alagarsamy

2023

ECS J. Solid State Sci. Technol.

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Finite Impulse Response (FIR) filter contributes a major role in most of the signal processing applications. However, the Finite Impulse Response filter performance is restricted by its speed, power and area usage. To address these issues, an adaptive FIR filter design using approximate adder and Hybridizing (Radix-8 Booth and TRAM) Approximate Multiplier (DA-AFIR-leadx-hybam-AC) is proposed in this manuscript for eradicating the noise in the sensor nodes. Here, Low error together with area efficient approximate adder (leadx) is used for reducing path delay and area utilization. For approximate multiplier design, proposed Hybridizing (Radix-8 Booth and TRAM) Approximate Multiplier using 15–4 Approximate Compressors (hybam-AC) is used for decreasing power consumption and design complexity. The simulation of the proposed model is implemented in Verilog and the design is synthesized in FPGA utilizing Xilinx ISE 14.5. The proposed DA-AFIR-leadx-hybam-AC filter design attains 33.6%, 22.75%, 29.69% lower power and 43.58%, 11.3%, 33.07% lower delay than the existing approaches, like DA-AFIR-MLDA-RNS, DA-AFIR-Hyb-CSD-ABR, DA-AFIR-SOPOT-MPGBP. Finally, the proposed DA-AFIR-leadx-hybam-AC filter design is applied for noise removal application in sensor nodes. The proposed Filter is implemented in MATLAB/Simulink for reading input signal.

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Section: Literature Surveymentioning

confidence: 99%

“…The adaptive FIR filter with the approximate adder and hybridized multiplier helps to eradicate noise efficiently in resource-constrained sensor nodes. 24 The key contributions of the manuscript are abridged below:…”

mentioning

confidence: 99%

Adaptive FIR Filter Design with Approximate Adder and Hybridized Multiplier for Efficient Noise Eradication in Sensor Nodes

Immareddy,

Sundaramoorthy,

Alagarsamy

2023

ECS J. Solid State Sci. Technol.

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“…The DBF results were tested in a microwave darkroom; the test environment is shown in Figure 19. Corresponding to the system hardware architecture in Section 2.1.1, 1 in Figure 19 is the system transmit antenna array, 2 is the system RF front-end, 3 is the system digital array signal processor and 4 is the receiving antenna turntable, which can be rotated in any azimuth angle. The receiving antenna is connected to the spectrum analyzer and vector network analyzer to test the transmit signal.…”

Section: Hardware Implementation Of the Mimo Phased Array Dbf Algorithmmentioning

confidence: 99%

“…In recent years, different architectures of digital array signal processing systems have been proposed by domestic and international research institutions [1][2][3][4][5][6][7][8]. In 2015, the Institute for Microwave and Radar Research of the German Aerospace Center proposed a satellite-integrated dual-frequency digital array signal processing system that uses a two-dimensional patch to achieve Digital Beam-Forming (DBF) [9].…”

Section: Introductionmentioning

confidence: 99%

Design of a Digital Array Signal Processing System with Full Array Element

et al. 2023

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For the application of a digital array signal processing system with a high sampling rate and large bandwidth, and considering the constraints of limited resources (performance, volume, power consumption, weight, etc.), this paper proposes a design and implementation method of broadband digital array signal processing system based on radio frequency system on a chip. The system focuses on multi-channel synchronization under a high sampling rate and multi-channel amplitude and phase calibration under large bandwidth to form an all-digital, low-power, multi-channel, high-speed, large bandwidth hardware platform suitable for broadband digital array signal processing. Through the implementation of the Multiple-Input Multiple-Output phased-array digital beamforming algorithm, the test conducted verifies that the system has superior signal processing performance of the broadband digital array.

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“…This method estimates the current frequency of the line through the zero crossing of several cycles sampled by the terminal, which is slow and has low accuracy in frequency estimation Recently, scholars at home and abroad have proposed many theories and new algorithms for frequency measurement. Representative ones include the periodic method (also known as zero crossing algorithm) and its improved algorithms (typical improved algorithms include level crossing algorithm, minimum quadratic polynomial curve fitting method, and higher order correction function method); Analytic algorithm [1]; Random model algorithm [2] (least squares algorithm, minimum absolute value approximation, Newton type algorithm, discrete (extended) Kalman filtering algorithm); Frequency artificial neural network method; DFT (FFT) class algorithms and their improved algorithms [3]; Discrete spectrum analysis and correction; Orthogonal de modulation method: modern spectral analysis method [4]; Virtual rotor method and digital filtering method. The above frequency measurement theories and new algorithms have their own characteristics in terms of accuracy, response speed [5], computational complexity, ability to suppress various harmonics and noise, ability to resist random interference, and complexity of algorithm implementation [6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Research on distribution terminal voltage frequency tracking method based on DFT phase difference method

jia,

Rongrong,

Zhengfei

et al. 2024

Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023)

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To improve the accuracy of power grid voltage and frequency monitoring by distribution terminals (FTUs) and reduce the impact of power grid frequency deviation on real-time monitoring of distribution terminals, a new voltage and frequency tracking method based on DFT phase difference method is derived by improving the traditional phase difference frequency monitoring method. A phase difference frequency estimation method is designed under the combined influence of multiple harmonics and noise interference, which is based on the mutual promotion of real-time frequency estimation and real-time frequency tracking. Frequency estimation completes sequence sampling, phase difference calculation, and frequency calculation. Frequency tracking improves the next sampling interval based on the previous frequency, thereby reducing the error value. Through simulation and physical experiments, it was found that the algorithm can synchronously analyze the harmonics of 10kV lines. The frequency estimation, frequency tracking, and harmonic analysis algorithms can quickly improve the accuracy of distribution terminal frequency estimation and harmonic analysis, and can complete real-time and high-precision harmonic analysis with small computational complexity.

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A Low-SWaP 16-Beam 2.4 GHz Digital Phased Array Receiver Using DFT Approximation

Cited by 15 publications

References 15 publications

Adaptive FIR Filter Design with Approximate Adder and Hybridized Multiplier for Efficient Noise Eradication in Sensor Nodes

Adaptive FIR Filter Design with Approximate Adder and Hybridized Multiplier for Efficient Noise Eradication in Sensor Nodes

Design of a Digital Array Signal Processing System with Full Array Element

Research on distribution terminal voltage frequency tracking method based on DFT phase difference method

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