Title :
Asynchronous compressive multi-channel radar for interference-robust vehicle collision avoidance systems
Author :
Jun Zhou ; Hoyos, Sebastian
Author_Institution :
Texas A&M Univ., College Station, TX, USA
Abstract :
This paper presents a low-power asynchronous compressive sensing (ACS) front-end scheme that allows the coexistence of radar and wireless systems. The analog front-end architecture introduces one major system advantage needed in an interference-robust wideband radar: multiple parallel signal processing channels capable of rejecting inband interference and handling large data volume at the analog-to-digital converters output. This advantage is offered by a filter-bank parallel ACS receiver that filters out undesired interference and exploits the sparsity of radar pulsed signals in a scattered environment. Numerical simulations on a vehicle-to-vehicle collision avoidance radar system with in-band wireless interference demonstrate the proposed radar receiver is robust to in-band interference, and achieves 6-fold data volume compression compared with Nyquist sampling.
Keywords :
channel bank filters; compressed sensing; interference; radar signal processing; analog front-end architecture; asynchronous compressive multichannel radar; filter-bank parallel ACS receiver; interference-robust wideband radar; low-power asynchronous compressive sensing front-end scheme; multiple parallel signal processing channels; Compressed sensing; Filter banks; Interference; Radar; Receivers; Wireless communication; Wireless sensor networks; asynchronous sampling; compressive sensing; continuous-time ternary encoding; time-delay estimation;
Conference_Titel :
Wireless and Microwave Circuits and Systems (WMCS), 2014 Texas Symposium on
Conference_Location :
Waco, TX
DOI :
10.1109/WMCaS.2014.7015882