Transmit Energy Efficiency of Two Cognitive Radar Platforms for Target Identification

Aerospace

Ric Romero¹  Emmanouil Mourtzakis² 

[1] Department of Electrical and Computer Engineering, Naval Postgraduate School, Monterey, CA 93943, USA; E-Mail

关键词: cognitive radar;    target identification;    probability of correct decision;    average number of illuminations;   

DOI  :  10.3390/aerospace2030376

来源: mdpi

【 摘 要 】

Cognitive radar (CRr) is a recent radar paradigm that can potentially help drive aerospace innovation forward. Two specific platforms of cognitive radar used for target identification are discussed. One uses sequential hypothesis testing (SHT) in the receiver processing and is referred to as SHT-CRr and the other one uses maximum a posteriori (MAP) and is referred to as MAP-CRr. Our main goal in this article is to make a practical comparison between SHT-CRr and MAP-CRr platforms in terms of transmission energy efficiency. Since the performance metric for the SHT-CRr is the average number of illuminations (ANI) and the performance metric for MAP-CRr is the percentage of correct decisions ( performance of SHT-CRr can be drastically different from the probability threshold (i.e., the probability value that is used to stop radar illumination for the purposes of classification), which is critically important for CRr system designers to realize. Indeed, this fact turns out to be key in accomplishing our goal to compare SHT-CRr and MAP-CRr in terms of transmit energy efficiency.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.