A Signal Processing Algorithm of Two-Phase Staggered PRI and Slow Time Signal Integration for MTI Triangular FMCW Multi-Target Tracking Radars

Sensors

Taiwen Tang¹  Chen Wu¹  Janaka Elangage¹ 

[1] Defence Research and Development Canada, Ottawa Research Centre, Ottawa, ON K1A 0Z4, Canada;

关键词: staggered PRI;    slow time integration;    FMCW;    digital beamforming;    radar electronic warfare;   

DOI  :  10.3390/s21072296

来源: DOAJ

【 摘 要 】

In this paper, a novel signal processing algorithm for mitigating the radar blind speed problem of moving target indication (MTI) for frequency modulated continuous wave (FMCW) multi-target tracking radars is proposed. A two-phase staggered pulse repetition interval (PRI) solution is introduced to the FMCW radar system. It is implemented as a time-varying MTI filter using twice the hardware resources as compared to a uniform PRI MTI filter. The two-phase staggered PRI FMCW waveform is still periodic with a little more than twice the period of the uniform PRI radar. We also propose a slow time signal integration scheme for the radar detector using the post-fast Fourier transformation Doppler tracking loop. This scheme introduces dB of extra signal processing gain to the signal before the radar detector compared with the original uniform PRI FMCW radar. The validation of the algorithm is done on the field programmable logic array in the loop test bed, which accurately models and emulates the target movement, line of sight propagation and radar signal processing. A simulation run of tracking s of the target movement near or at the radar blind speed shows that the total degradation from the raw post-fast Fourier transformation received signal to noise ratio is about dB. With a dB post-processing signal to noise ratio of the proposed algorithm for the moving target at around a km range and with about a dB m² radar cross section at a GHz carrier frequency, the tracking errors of the two-dimensional angles with a digital phased array are less than degree. The range tracking error is about m.

【 授权许可】

Unknown