SUMMeR: Sub-Nyquist MIMO Radar
نویسندگان
چکیده
Multiple input multiple output (MIMO) radar exhibits several advantages with respect to traditional radar array systems in terms of flexibility and performance. However, MIMO radar poses new challenges for both hardware design and digital processing. In particular, achieving high azimuth resolution requires a large number of transmit and receive antennas. In addition, the digital processing is performed on samples of the received signal, from each transmitter to each receiver, at its Nyquist rate, which can be prohibitively large when high resolution is needed. Overcoming the rate bottleneck, sub-Nyquist sampling methods have been proposed that break the link between radar signal bandwidth and sampling rate. In this work, we extend these methods to MIMO configurations and propose a sub-Nyquist MIMO radar (SUMMeR) system that performs both time and spatial compression. We present a rangeazimuth-Doppler recovery algorithm from sub-Nyquist samples obtained from a reduced number of transmitters and receivers, that exploits the sparsity of the recovered targets’ parameters. This allows us to achieve reduction in the number of deployed antennas and the number of samples per receiver, without degrading the time and spatial resolutions. Simulations illustrate the detection performance of SUMMeR for different compression levels and shows that both time and spatial resolution are preserved, with respect to classic Nyquist MIMO configurations. We also examine the impact of design parameters, such as antennas’ locations and carrier frequencies, on the detection performance, and provide guidelines for their choice.
منابع مشابه
A Sub-Nyquist Radar Prototype: Hardware and Software
We introduce a full hardware implementation and demo of a sub-Nyquist radar receiver. Our system demonstrates pulse-Doppler radar transmission and reception at sub-Nyquist rates. Specifically, we sample the received radar signal at 1/20 the Nyquist rate, while still perfectly detecting the targets in the delayDoppler plane. In addition our system filters clutter interference from the sub-Nyquis...
متن کاملSub-nyquist Multicoset and Mimo Sampling: Perfect Reconstruction, Performance Analysis, and Necessary Density Conditions By
We study two sub-Nyquist sampling schemes for multiband signals known as multicoset sampling and multiple-input, multiple-output (MIMO) sampling. A multiband signal is one whose Fourier transform is supported on a set F ⊆ R consisting of a finite union of intervals. Unlike uniform sampling, multicoset sampling allows perfect reconstruction of a multiband input at sampling rates arbitrarily clos...
متن کاملMIMO UWB Radar System with Compressive Sensing
A multiple input multiple output ultra-wideband cognitive radar based on compressive sensing is presented in this letter. For traditional UWB radar, high sampling rate analog to digital converter at the receiver is required to meet Shannon theorem, which increases hardware complexity. In order to bypass the bottleneck of ADC or further increase the radar bandwidth using the latest wideband ADC,...
متن کاملSub-Nyquist Radar: Principles and Prototypes
In the past few years, new approaches to radar signal processing have been introduced which allow the radar to perform signal detection and parameter estimation from much fewer measurements than that required by Nyquist sampling. These systems referred to as sub-Nyquist radars model the received signal as having finite rate of innovation and employ the Xampling framework to obtain low-rate samp...
متن کاملHigh Resolution Compressed Sensing Radar using Difference Set Codes
In this paper, we consider compressive sensing (CS)based recovery of delays and Doppler frequencies of targets in high resolution radars. We propose a novel sub-Nyquist sampling method in the Fourier domain based on difference sets (DS), called DS-sampling, to create dictionaries with highly incoherent atoms. The coherence of the dictionary reaches the Welch minimum bound if the DS-sampling is ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- CoRR
دوره abs/1608.07799 شماره
صفحات -
تاریخ انتشار 2016