Performance of a Communicating Radar using FSK and Fractional Fourier Transform for Automotive Applications

Abstract

In automotive environment, it is preferable to have a joint radar and communication system as it is able to use the same hardware and band of the spectrum for both systems. In this paper a joint radar communication system for automotive radar based on the Fractional Fourier Transform (FrFT) is presented. The performance of the system is analysed in the presence of interference arising from other users. In addition, the communication performance in terms of Bit Error Rate (BER), is analysed for different scenarios. Simulation results demonstrate the potential of the proposed system in multiuser scenarios and in different types of communication channels.

Interference Mitigation for a joint radar communication system based on the FrFT for Automotive Applications

“…When the order of the FrFT moves from 0 to 1, the energy of the low-pass signal concentrates in the middle of the pulse and very low intensity samples appear at the beginning and end of the pulse [4]. To keep the transmitted power at near consistent level and to get a continuous waveform, a threshold is applied to remove those low intensity samples.…”

“…The Coherent Processing Interval (CPI) of the proposed waveform design has a similar time-frequency profile with an FCFMCW signal as presented in [4] and [5]. In order to increase the Signal to Noise Ratio (SNR) and therefore improve the radar performance, the same bits of information are embedded in every waveform in a CPI, meaning that the data information change from CPI to CPI.…”

“…In [3] and [4] a joint radar communication system based on the FrFT for automotive environment was presented. The waveforms are transmitted in a consecutive manner similar to the Fast Chirp FMCW (FCFMCW) [2].…”

“…In [3] it was shown that the radar performance of the proposed system is not significantly dependent on the data information that are embedded in the radar waveform. Additionally, in [4] it was shown that this framework can work in different environments ensuring a good Bit Error Rate (BER). While in [5] it was shown that the proposed framework fits in a multi user scenario.…”

Assessment of Micro-Doppler based road targets recognition based on co-operative multi-sensor automotive radar applications

“…In [4] it was shown that the radar performance of the proposed waveform design in terms of Ambiguity Function (AF) and Side Lobe Levels is similar to that of a Linear Frequency Modulation (LFM) waveform while also demonstrating that the random nature of the embedded data do not significantly impact the radar performance. Additionally, in [5] it was shown that the proposed framework can work in different communication channels while assuring a good Bit Error Rate (BER).…”