Multichannel Signal Detection in Time-Spreading Distortion Underwater Channels Using Vector and Scalar Sensors: Theory and Experiments

被引:1
作者
Rashid, Rami [1 ]
Zhang, Erjian [1 ]
Abdi, Ali [1 ]
Michalopoulou, Zoi-Heleni [2 ]
机构
[1] New Jersey Inst Technol, Dept Elect & Comp Engn, Newark, NJ 07102 USA
[2] New Jersey Inst Technol, Dept Math Sci, Newark, NJ 07102 USA
关键词
Vectors; Receivers; Acoustics; Detectors; Probability density function; Indexes; Echo sounders; Multichannel signal detection; multipath channels; scalar sensors; time dispersion; underwater channel; vector sensors; FREQUENCY;
D O I
10.1109/JOE.2024.3424108
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Underwater signal detection in shallow water needs to be able to handle several types of distortion. One is the time-spreading distortion (TSD), in which several replicas of the transmitted signal arrive at different times, as a result of the signal traveling over multiple propagation paths. In this article, we present a multichannel signal detector for TSD channels. The performance of the detector is first studied analytically, by deriving closed-form equations for the detection and false alarm probabilities of the multichannel detector in TSD channels. The detector's performance is further evaluated via computer simulations and underwater experiments. Two types of multichannel receivers are used in the underwater experiments. The first one is a sphere vector sensor that measures the vector components of the acoustic field, i.e., the x, y, and z acoustic particle velocities, as well as the scalar component of the acoustic field, that is, the acoustic pressure, whereas the second one is composed of scalar sensors, which are hydrophones that measure only the scalar component of the acoustic field. Our results indicate that, as the number of channels of the receiver increases, the detection probability in TSD channels increases and, furthermore, the detection probability becomes less dependent on the choice of the required number of correlators for each channel of the receiver. Given the multichannel nature of a small-size vector sensor, such a sensor can serve as an effective and compact multichannel signal detector in TSD channels. This can be of particular importance in small underwater platforms that have considerable size constraints.
引用
收藏
页码:1151 / 1159
页数:9
相关论文
共 16 条
[1]   A New Compact Multichannel Receiver for Underwater Wireless Communication Networks [J].
Abdi, Ali ;
Guo, Huaihai .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2009, 8 (07) :3326-3329
[3]   Detection of broadband signals in frequency and time dispersive channels [J].
Friedlander, B ;
Zeira, A .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 1996, 44 (07) :1613-1622
[4]  
Hogg RV., 2019, Introduction to mathematical statistics, V8th ed
[5]  
Kay S., 1998, F u n d a m e n t a l s o f S t a t i s t i c a l S i g n a l P r o c e s s i n g : D e t e c t i o n T h e o r y
[6]  
Kay S M., 1993, Fundamentals of Statistical Signal Processing: Estimation Theory
[7]   Active source detection in a dispersive multiple-reflection environment [J].
Michalopoulou, ZH .
ICASSP '99: 1999 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, PROCEEDINGS VOLS I-VI, 1999, :2765-2768
[8]   Bayesian coherent and incoherent matched-field localization and detection in the ocean [J].
Michalopoulou, Zoi-Heleni ;
Pole, Andrew ;
Abdi, Ali .
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 2019, 146 (06) :4812-4820
[9]  
OPPENHEIM AV, 1989, DISCRETE TIME SIGNAL
[10]   Distributed MIMO sonar for detection of moving targets in shallow sea environments [J].
Pan, Xiang ;
Liu, Zhongdi ;
Zhang, Peng ;
Shen, Yining ;
Qiu, Jianjun .
APPLIED ACOUSTICS, 2022, 185