Radar Signal Multipath Channel Identification Using Ambiguity Function and Normalized Least Mean Square Algorithm
碩士 === 國立臺灣科技大學 === 電機工程系 === 101 === This thesis investigates a method that identifies a directional antenna corresponding to the line of sight signal source based on radar array received signals in a multipath propagation environment. The method can improve false decision of signal direction probl...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2012
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| Online Access: | http://ndltd.ncl.edu.tw/handle/50627100200824927977 |
| Summary: | 碩士 === 國立臺灣科技大學 === 電機工程系 === 101 === This thesis investigates a method that identifies a directional antenna corresponding to the line of sight signal source based on radar array received signals in a multipath propagation environment. The method can improve false decision of signal direction problem.
This work uses an ambiguity function to estimate the relative time delay between each multipath and the line of sight. Additionally, a normalized least mean square algorithm that identifies the multipath channel model including the time delays and gains are also used to verify the estimation results of the ambiguity function.
The proposed method compares the channel estimation and the cross-correlation results of each directional antenna and an omni-directional surveillance antenna to determine the incident line-of-sight and multipath signals corresponding directional antennas. With such information, false alarms in the directions associated with multipath can be avoided.
Computer simulations and experiments are performed to verify the feasibility of the proposed method, where a set of recorded radar signals are used as sources and a tap-delay-line model is adopted to simulate a multipath channel. Future work of improving the proposed method is also discussed based on the verification.
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