DocumentCode :
621511
Title :
Asynchronous compressive sensing in radar systems
Author :
Jun Zhou ; Palermo, Samuel ; Sadler, B.M. ; Hoyos, Sebastian
Author_Institution :
Texas A&M Univ., College Station, TX, USA
fYear :
2013
fDate :
4-5 April 2013
Firstpage :
1
Lastpage :
4
Abstract :
In this paper we present an asynchronous compressive sensing front-end for radar systems. By using a continuous-time ternary encoding scheme (CT-TE), the amplitude variations on radar pulses are converted into timing information. The oversampling architecture mitigates the quantization error and improves time-delay estimation accuracy. The high data volume resulting from oversampling is reduced by using compressive sensing (CS) in the digital domain. Moreover, the high power consumption of randomization in an analog CS front-end is avoided in the proposed asynchronous scheme by using a part-time operation strategy in the most power demanding modules. Simulations show that the proposed scheme achieves a better range accuracy and probability of detection at sub-Nyquist rate compared to a conventional system that uses oversampling ADCs.
Keywords :
compressed sensing; probability; radar signal processing; CT-TE scheme; amplitude variations; asynchronous compressive sensing front-end; continuous-time ternary encoding scheme; oversampling architecture; part-time operation strategy; probability; quantization error; radar pulses; radar systems; sub-Nyquist rate; time-delay estimation accuracy; Accuracy; Bandwidth; Compressed sensing; Noise; Quantization (signal); Radar; Thermal noise; asynchronous; compressive sensing; continuous-time ternary encoding; part-time randomization; time-delay accuracy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless and Microwave Circuits and Systems (WMCS), 2013 Texas Symposium on
Conference_Location :
Waco, TX
Print_ISBN :
978-1-4799-0456-3
Type :
conf
DOI :
10.1109/WMCaS.2013.6563556
Filename :
6563556
Link To Document :
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