Resolving Range Ambiguity via Multiple-Input Multiple-Output Radar with Element-Pulse Coding

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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Detail(s)

Original languageEnglish
Article number9072567
Pages (from-to)2770-2783
Journal / PublicationIEEE Transactions on Signal Processing
Volume68
Online published20 Apr 2020
Publication statusPublished - 2020

Abstract

In this paper, we propose a novel radar framework, referred to as multiple-input multiple-output (MIMO) radar with element-pulse coding (EPC). The EPC employs Fourier basis in joint transmit elements and pulses, which has the advantages of simplicity and convenience for practical realization. It is shown that the EPC-MIMO radar is advantageous in discriminating different pulses and resolving range ambiguity. The discrimination of different pulses is achieved in the transmit spatial frequency domain, and the identifiability of range ambiguity increases with the transmit element number of the radar. Moreover, coherent processing in Doppler domain can be performed after decoding. The coding and decoding procedures are closely related though they are performed in transmitter and receiver, respectively. As the EPC-MIMO radar is capable of resolving range ambiguity, an enhanced parameter estimation approach is developed to obtain the angle and range region number estimates of target. The parameter estimation performance is assessed by the Cramér-Rao bound, which reveals useful and interesting findings. Simulation examples are provided to verify the signal properties in EPC-MIMO radar and to demonstrate its superiority in resolving range ambiguity over existing systems.

Research Area(s)

  • Cramér-Rao bound, element-pulse coding, Multiple-input multiple-output radar, parameter estimation, range ambiguity resolution

Citation Format(s)

Resolving Range Ambiguity via Multiple-Input Multiple-Output Radar with Element-Pulse Coding. / Xu, Jingwei; Zhang, Yuhong; Liao, Guisheng et al.
In: IEEE Transactions on Signal Processing, Vol. 68, 9072567, 2020, p. 2770-2783.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review