Automotive Interference Suppression in MIMO and Phased Array Radar

This paper considers mutual interference mitigation among automotive radars using frequency-modulated continuous wave (FMCW) signal and multiple-input multiple-output (MIMO) virtual arrays. For the first time, we derive a general interference signal model that fully accounts for not only the time-frequency incoherence, e.g., different FMCW configuration parameters and time offsets, but also the slow-time code MIMO incoherence and array configuration differences between the victim and interfering radars. Along with a standard MIMO-FMCW object signal model, we turn the interference mitigation into a spatial-domain object detection under incoherent MIMO-FMCW interference described by the explicit interference signal model, and propose a constant false alarm rate (CFAR) detector. More specifically, the proposed detector exploits the structural property of the derived interference model at both transmit and receive steering vector space. We also derive analytical closedform expressions for probabilities of detection and false alarm. Performance evaluation using both synthetic-level and phased array system-level simulation confirms the effectiveness of our proposed detector over selected baseline methods.

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“…3) LCMV Detector of [43]: In [43], a conventional linear constraint minimum variance (LCMV) beamformer is adopted. It assumes that…”

Section: B Existing Detectorsmentioning

confidence: 99%

“…On the other hand, spatialdomain mitigation approaches were considered to make use of additional degrees of freedom in the antenna or beamspace domain. Initial efforts include receiver beamforming-based approaches [37]- [41], null steering [42], and linear constraints minimum variance (LCMV) beamforming [43].…”

Section: Introductionmentioning

confidence: 99%