Electrical and Electronic Engineering - Research Publications

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    Frequency Permutation Subsets for Joint Radar and Communication
    Dayarathna, S ; Senanayake, R ; Smith, P ; Evans, J (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2024-02)
    This paper focuses on waveform design for joint radar and communication systems and presents a new subset selection process to improve the communication error rate performance and global accuracy of radar sensing of the permutation based random stepped frequency radar waveform. An optimal communication receiver based on integer programming is proposed to handle any subset of permutations followed by a more efficient sub-optimal receiver based on the Hungarian algorithm. Considering optimal maximum likelihood detection, the block error rate is analyzed under both additive white Gaussian noise and correlated Rician fading. We propose two methods to select a permutation subset with an improved block error rate and an efficient encoding scheme to map the information symbols to selected permutations under these subsets. From the radar perspective, the ambiguity function is analyzed with regards to the local and the global accuracy of target detection. Furthermore, a subset selection method to reduce peak-to-sidelobe ratio (PSLR) is proposed by extending the properties of Costas arrays. Finally, the process of remapping the frequency tones to the symbol set used to generate permutations is introduced as a method to improve both the communication and radar performances of the selected permutation subset.
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    Bit Modulated Frequency Permutation Waveforms for Joint Communications and Radar
    Dayarathna, S ; Senanayake, R ; Evans, J ; Smith, P (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2023-12)
    In this paper, we propose the selection of a subset of waveforms based on the random stepped frequency permutation waveform to support joint radar and communication. More specifically, we solve two critical implementation problems arising from the subset selection which is motivated by the fundamental bit level operation requirements of communication systems. Noting that the practicality of any selected subset depends on the feasibility of efficient implementation, we focus on finding a specific subset for which we can design an efficient mapping process and a receiver implementation. More specifically, we propose an efficient process to map information bits to waveforms based on the factorial number system. An efficient optimal communication receiver that utilizes the Hungarian algorithm is also designed. For additive white Gaussian noise and correlated Rician fading channels, the bit error rate is analyzed in accordance with the optimum maximum likelihood detection.
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    Chemical Reactions-Based Detection Mechanism for Molecular Communications
    Cao, TN ; Jamali, V ; Wicke, W ; Zlatanov, N ; Yeoh, PL ; Evans, J ; Schober, R (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2023-03)
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    The Cost of Noncoherence: Avoiding Channel Estimation Through Differential Encoding in Phase Quantized Systems
    Gayan, S ; Inaltekin, H ; Senanayake, R ; Evans, J (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2023)
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    Design and Analysis of Hardware-Limited Non-Uniform Task-Based Quantizers
    Bernardo, NI ; Zhu, J ; Eldar, YC ; Evans, J (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2023)
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    Frequency Permutations for Joint Radar and Communications
    Senanayake, R ; Smith, PJ ; Han, T ; Evans, J ; Moran, W ; Evans, R (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2022-11)
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    Optimum Reconfigurable Intelligent Surface Selection for Wireless Networks
    Fang, Y ; Atapattu, S ; Inaltekin, H ; Evans, J (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2022-09)
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    Capacity Bounds for One-Bit MIMO Gaussian Channels With Analog Combining
    Bernardo, NI ; Zhu, J ; Eldar, YC ; Evans, J (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2022-11)
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    On the Capacity-Achieving Input of Channels With Phase Quantization
    Bernardo, NI ; Zhu, J ; Evans, J (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2022-09)
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    On the Capacity-Achieving Input of the Gaussian Channel With Polar Quantization
    Bernardo, NI ; Zhu, J ; Evans, J (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2022-09)