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 (Institute of Electrical and Electronics Engineers (IEEE), 2024-02-01)
    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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    High Reliability Radar and Communications Based on Random Stepped Frequency Waveforms
    Dayarathna, S ; Senanayake, R ; Evans, J ; Smith, P (IEEE, 2023)
    This paper is on the waveform design of joint radar and communication systems. Focusing on permutation code based random stepped frequency waveforms, we present a new joint radar and communication system that has improved communication error rate performance when compared to existing approaches. More specifically, we propose a subset selection process to improve the Hamming distance between communication waveforms. An efficient encoding scheme is proposed to map the information symbols to selected permutations. Further, an optimal communication receiver based on integer programming followed by a more efficient sub-optimal receiver based on the Hungarian algorithm is also proposed. Considering the optimum maximum likelihood detection, the block error probability is analyzed under both additive white Gaussian noise channels and Rician fading channels. Finally, we discuss the radar performance under the new system and highlight that it has negligible effect on the radar local and global accuracy.
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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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    Differential MPSK with n-Bit Phase Quantization
    Gayan, S ; Inaltekin, H ; Senanayake, R ; Evans, J (IEEE, 2023-01-01)
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    Joint Relay Selection and Power Control to Maximize Sum-Rate in Multi-Hop Networks
    Dayarathna, S ; Senanayake, R ; Evans, J (IEEE, 2023-01-01)
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    CFMA for Gaussian MIMO Multiple Access Channels
    Zhang, L ; Evans, J ; Zhu, J (IEEE, 2023-01-01)
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    Hardware-Limited Non-Uniform Task-Based Quantizers
    Bernardo, NI ; Zhu, J ; Eldar, YC ; Evans, J (IEEE, 2023-01-01)