TY - GEN
T1 - A new method of spatial-spectrum detection based on noise suppression in signal subspace
AU - Wang, Hui Hui
AU - Zhang, Qun Fei
AU - Xu, Zhen Hua
PY - 2011
Y1 - 2011
N2 - In this paper, a new method to overcome the poor spatial-spectrum detective performance of Minimum Variance Distortionless Response (MVDR) is proposed for weak broadband signal. The new approach, called EBMVDR in this paper, is based on noise suppression in signal subspace. Firstly, Eigen decomposition is used in covariance matrix of the received data vector in frequency domain, and then estimate noise power using the pre-estimated signal dimension. Next, the covariance matrix is reconstructed by suppressing noise in the signal subspace. Finally, the weight vector can be got for the new method. At the same time, array gain of EBMVDR is deduced. Theory analysis and statistical simulation results show that: when the noise is white, the lowest detection signal-noise ratio (SNR) performance improves 6dB compared to the conventional MVDR method. Moreover, the new method has good robustness and stable array gain within the whole bandwidth.
AB - In this paper, a new method to overcome the poor spatial-spectrum detective performance of Minimum Variance Distortionless Response (MVDR) is proposed for weak broadband signal. The new approach, called EBMVDR in this paper, is based on noise suppression in signal subspace. Firstly, Eigen decomposition is used in covariance matrix of the received data vector in frequency domain, and then estimate noise power using the pre-estimated signal dimension. Next, the covariance matrix is reconstructed by suppressing noise in the signal subspace. Finally, the weight vector can be got for the new method. At the same time, array gain of EBMVDR is deduced. Theory analysis and statistical simulation results show that: when the noise is white, the lowest detection signal-noise ratio (SNR) performance improves 6dB compared to the conventional MVDR method. Moreover, the new method has good robustness and stable array gain within the whole bandwidth.
KW - noise suppression
KW - signal subspace
KW - spatial spectrum detection
KW - weak signal
UR - http://www.scopus.com/inward/record.url?scp=81055127642&partnerID=8YFLogxK
U2 - 10.1109/ICSPCC.2011.6061561
DO - 10.1109/ICSPCC.2011.6061561
M3 - 会议稿件
AN - SCOPUS:81055127642
SN - 9781457708947
T3 - 2011 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2011
BT - 2011 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2011
T2 - 2011 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2011
Y2 - 14 September 2011 through 16 September 2011
ER -