On the Performance Improvements of Data-aided Joint Sensing and Communication

Abstract

Existing joint sensing and communication technique functionally separates sensing from communication, making it difficult to improve the performance of dual functions and extend to the network paradigm. To simultaneously improve the performance of target sensing and data detection, we propose a data-aided joint target sensing and data detection scheme in this paper, which can be divided into three phases. In the first pilot phase, we derive the performance limits of time delay in the multiple reflected path scenario, which are shown to be inversely proportional to the waveform coefficient with separable multipath. In the second data transmission phase, we evaluate the data detection performance using the minimum mean squared error detector via the uncertainty channel. In the third data-aided phase, we derive the sensing performance when reusing the detected data symbols with the decoding error via error analysis. Finally, simulation results are provided to show the performance improvements for both sensing and communication.