Adaptive MIMO radar detection algorithm in a spatially correlated clutter environment

Wei Jen Chen, Ram Mohan Narayanan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In recent years, multi-input and multi-output (MIMO) radar systems have captured the attention of many researchers. At the very beginning, these works focused on increasing the signal-to-noise power ratio (SNR) by transmitting coherent signals. In 2004, a new concept called spatial diversity was introduced for MIMO radar, which achieved the same objective using widely separated transmitters and/or receivers and independent transmitted signals. This technology dramatically enhances the detection probability and accuracy in estimating direction of arrival (DOA) by efficiently constraining target scintillations and collecting more information carried in distinguishable signals. Moreover, since the transmitted signals are independent in MIMO radar, considerable mechanisms such as beamforming technologies and coherent processing, can be developed and applied to improve its performance. However, MIMO radar detection performance in a spatially correlated clutter environment does not get adequate attention that it deserves. Therefore, in this paper, received signals considered include reflections from the target, K-distributed clutter, and thermal noise. Moreover, beamforming technology and coherent processing are applied to estimate the reflectivity of and distinguish between target and clutter reflections. As a result, when echoes from target and clutter are unresolvable, the detection problem can be formulated as a two hypotheses test. According to the Bayesian approach, we develop the ratio test for this situation. In addition, we observe that if highly correlated information is utilized by adaptively modifying clutter local mean power probability density function (PDF), the uncertainty of clutter local mean power decreases and detection performance can be further improved. Last, we also compare the power based detection algorithm with the ratio test. Even though the power based detection algorithm has advantage in simple computation, its comparable performance is achieved only when number of transmitters is large.

Original languageEnglish (US)
Title of host publicationWireless Sensing and Processing III
Volume6980
DOIs
StatePublished - May 20 2008
EventWireless Sensing and Processing III - Orlando, FL, United States
Duration: Mar 17 2008Mar 18 2008

Other

OtherWireless Sensing and Processing III
CountryUnited States
CityOrlando, FL
Period3/17/083/18/08

Fingerprint

radar detection
clutter
Clutter
Radar
Beamforming
output
Output
Transmitters
Ratio test
radar
Power Mean
Thermal noise
Target
Direction of arrival
beamforming
Scintillation
Radar systems
Processing
Transmitter
transmitters

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

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title = "Adaptive MIMO radar detection algorithm in a spatially correlated clutter environment",
abstract = "In recent years, multi-input and multi-output (MIMO) radar systems have captured the attention of many researchers. At the very beginning, these works focused on increasing the signal-to-noise power ratio (SNR) by transmitting coherent signals. In 2004, a new concept called spatial diversity was introduced for MIMO radar, which achieved the same objective using widely separated transmitters and/or receivers and independent transmitted signals. This technology dramatically enhances the detection probability and accuracy in estimating direction of arrival (DOA) by efficiently constraining target scintillations and collecting more information carried in distinguishable signals. Moreover, since the transmitted signals are independent in MIMO radar, considerable mechanisms such as beamforming technologies and coherent processing, can be developed and applied to improve its performance. However, MIMO radar detection performance in a spatially correlated clutter environment does not get adequate attention that it deserves. Therefore, in this paper, received signals considered include reflections from the target, K-distributed clutter, and thermal noise. Moreover, beamforming technology and coherent processing are applied to estimate the reflectivity of and distinguish between target and clutter reflections. As a result, when echoes from target and clutter are unresolvable, the detection problem can be formulated as a two hypotheses test. According to the Bayesian approach, we develop the ratio test for this situation. In addition, we observe that if highly correlated information is utilized by adaptively modifying clutter local mean power probability density function (PDF), the uncertainty of clutter local mean power decreases and detection performance can be further improved. Last, we also compare the power based detection algorithm with the ratio test. Even though the power based detection algorithm has advantage in simple computation, its comparable performance is achieved only when number of transmitters is large.",
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Chen, WJ & Narayanan, RM 2008, Adaptive MIMO radar detection algorithm in a spatially correlated clutter environment. in Wireless Sensing and Processing III. vol. 6980, 69800M, Wireless Sensing and Processing III, Orlando, FL, United States, 3/17/08. https://doi.org/10.1117/12.777395

Adaptive MIMO radar detection algorithm in a spatially correlated clutter environment. / Chen, Wei Jen; Narayanan, Ram Mohan.

Wireless Sensing and Processing III. Vol. 6980 2008. 69800M.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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