Waveform_Diversity_and_MIMO_Radar.pdf

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Waveform Diversity and MIMO Radar Raviraj S. Adve Edward S. Rogers Sr. Dept. of Elec. and Comp. Eng. University of Toronto 10 King’s College Road Toronto, ON, Canada M5S 3G4 d Tel: (416) 946 7350 E-mail: rsadve@comm utoronto ca E mail: rsadve@comm.utoronto.ca IRSI’11 December 2011

Overview • Radar basics and background waveforms – waveforms •pulse compression •ambiguity function •ambiguity function – phased array radars – STAPSTAP – target models – early look at waveform diversity early look at waveform diversity IRSI’11 December 2011

Overview (2) • MIMO Radar – importance of diversity – importance of diversity – virtual array representation – theoretical analyses theoretical analyses •target models •diversity order y – STAP with distributed sensors • MIMO and Waveform Diversityy – MIMO ambiguity function – waveform design – fast-time & slow-time MIMO IRSI’11 December 2011

I : Radar Basics Single transmitter/receiver Range = R Transmitted signal : Received signal : IRSI’11 December 2011

I.1: Radar Basics : Ideal Ideal Transmitted Signal: I Issues: • Noise • Peak-to-average power • Bandwidth time Ideal Received Ideal Received Signal time IRSI’11 December 2011

Radar Basics : Bandlimited Pulses • Transmit a pulse (effectively) limited in time and frequency e g frequency, e.g., T • Range resolution (∆R) proportional to T ∆ IRSI’11 December 2011

Radar Basics : Bandlimited Pulses (2) Transmitted Signal: Receiver Receiver Range resolution Range resolution inversely proportional to bandwidth IRSI’11 December 2011

Radar Basics : Bandlimited Pulses (3) t t g t b fi di g th i • Matched filter: ;: gathers all energy in t • Detect target by finding the maximum of the output t D t of the matched filter target declared present if signal above some threshold – target declared present if signal above some threshold – target range from round-trip time f th • This is equivalent to pulse compression • This is equivalent to pulse compression – transmitted signal spread over long time – receiver creates very narrow signal in time – receiver creates very narrow signal in time •range resolution inversely proportional to bandwidth (∆R ≈ c/2B) •improvement in resolution ≈ time-bandwidth product IRSI’11 December 2011

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