As being able to share radio frequency (RF) hardwares and spectrum bandwidth, joint communication and radar sensing system has attracted a lot of attention. The integrated waveforms based on orthogonal frequency-division multiplexing (OFDM) with fast Fourier transform (FFT-OFDM) and OFDM with discrete fractional Fourier transform (DFRFT-OFDM) have been developed. However, the existing derived ambiguity function does not distinguish the two waveforms clearly. In addition, few range and velocity estimation algorithm for DFRFT-OFDM-based integrated waveform has been investigated. Therefore, in this paper we derive the ambiguity function of the DFRFT- OFDM-based waveform based on wideband analysis, which shows the superiority of the DFRFT-OFDM-based integrated waveform on range resolution. Moreover, range and velocity estimation algorithms based on pulse compression and coherent accumulation are proposed for the DFRFT-OFDM-based integrated waveform, respectively. Simulation results validate that the proposed algorithms can accurately estimate the distances and velocities of multiple moving targets.


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    Title :

    Range and Velocity Estimation for DFRFT-OFDM-Based Joint Communication and Sensing Systems


    Contributors:
    Chen, Rui (author) / Yang, Bin (author) / Wang, Wei (author) / Chen, Peng (author)


    Publication date :

    2019-09-01


    Size :

    1015610 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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