Abstract
Aiming at the influence of time-varying and frequency-varying of noise on the signal detection performance in the short wave wide-band channel and the large amount of computation in the channelized receiver model of the traditional low pass filter bank, a cross-channel reconfigurable multi-phase high-efficiency channelization method based on morphological processing is proposed in this paper .Firstly, The wide-band signal is coarsely filtered by the multi-phase structure of the uniform filter bank which is determined by the protection interval between signals, and then the bandwidth and position of the signal are determined by improved morphological operation and threshold decision of the power spectrum. Finally, the sub-band signals across the channel are combined to complete the approximate reconstruction of the sub-signals. Compared with the computational complexity of traditional channelized receiver model, the results show that this method has lower computational complexity. The simulation results show that the method can achieve the approximate constant false alarm rate(CFAR) under the colored noise environment, and has higher detection capability under different signal-to-noise ratios(SNR).
Highlights
The acquisition bandwidth of short-wave narrowband receiver is generally 3Khz
The traditional digital down-conversion (DDC) channelized structure requires a lot of computation, mentioned in literature [2] of a highly efficient channelization structure can reduce the computational complexity of the system but with the emergence of new shortwave agreement, rate is rapid ascension of shortwave signal channel distribution, as part of the signal bandwidth can be up to 24 KHZ is greater than that of ordinary narrowband receiver receive bandwidth, literature [2] channelized filter after the son signal may be caused by the truncation quilt channel across the channel signal distortion, affect the subsequent parameters estimation and decomposition reconstruction [3]
The power spectrum estimation of the wide-band signal is completed by the Welch algorithm, and the power spectrum is subjected to improved morphological filtering to estimate the noise floor, and the modified spectrum is obtained through the top hat operation, and the spectrum is smoothed by the secondary morphological filtering, and the smoothed power spectrum perform threshold detection to estimate the position and bandwidth of the signal, the sub-channels where the sub-band signals are located are combined to complete the crosschannel signal reconstruction wide-band sampling data Uniform channelization
Summary
The acquisition bandwidth of short-wave narrowband receiver is generally 3Khz. The increasingly advanced short-wave communication technology has got rid of the traditional detection technology [1]. Literature [4] proposed a non-uniform channelization filtering method based on a modulation filter bank. A wideband signal detection method based on morphological filtering was proposed in literature [8,9]. The noise floor in [8] is the connection line at the lowest point of the power spectrum This method is greatly affected by noise burrs, and the interpolation processing in this paper will lead to the insufficient smoothness of the estimation of noise floor. This paper proposes a cross-channel reconfigurable multi-phase high-efficiency channelization method based on improved morphological processing. This method has lower computational complexity and higher detection probability under colored noise environment
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