Direction of Arrival Estimation Using Array Model in Time-Frequency Domain
Time-frequency analysis is combined with array processing to develop a direction of arrival (DOA) estimation method. The array data model is constructed in time-frequency domain by cross timefrequency distribution between the output of a reference sensor and those of two symmetric subarrays. Accordingly a subspace method is presented based on the average of two sub-arrays’ timefrequency data vector model instead of the conventional array model, to estimate DOAs of multiple signals. Because the array data is processed both in spatial domain and 2-D time-frequency domain, the proposed method has an ability to select the signal of interesting, and is suitable for non-stationary signal. Additionally, the method is robust to noise and holds an advantage of low computational load. Simulations are conducted to verify the efficiency of the method and comparision is made with other methods.
Li Qiang Liu Yun Chen Hang
Northwestern Polytechnical University, Xi’an 710072, China
国际会议
上海
英文
1112-1116
2010-10-20(万方平台首次上网日期,不代表论文的发表时间)