Title :
Presence detection of long-and-short-code DS-SS signals using the phase linearity of multichannel sensors
Author :
Uysal, Can ; Filik, Tansu
Author_Institution :
Dept. of Electr. & Electron. Eng., Anadolu Univ., Eskisehir, Turkey
Abstract :
In this study, the detection of direct sequence spread spectrum (DS-SS) signals in white Gaussian noise without prior knowledge is investigated for spatially distributed multichannel wideband sensor array. A novel technique for the presence detection of both the long-and-short-code DS-SS signals is proposed which uses the frequency domain spatial covariance matrix of the sensor array. The technique is based on the linearity of the phase response of the wideband spatial covariances of cross sensors along the bandwidth of the signal. It is shown in simulations that the technique can detect DS-SS signals in a stable way at low signal to noise ratio (SNR) without any prior information and assumption on target. In addition, the proposed method can detect DS-SS signals in the presence of narrow band interference and multipath reflections.
Keywords :
Gaussian noise; covariance matrices; frequency-domain analysis; sensor arrays; signal detection; spread spectrum communication; direct sequence spread spectrum signals; frequency domain spatial covariance matrix; long-and-short-code DS-SS signals; multipath reflections; narrow band interference; phase linearity; presence detection; spatially distributed multichannel wideband sensor array; white Gaussian noise; wideband spatial covariances; Covariance matrices; Linearity; Sensor arrays; Signal to noise ratio; Wideband; covariance matrices; phase linearity; sensor arrays; signal detection; spread spectrum communication;
Conference_Titel :
Digital Signal Processing (DSP), 2014 19th International Conference on
Conference_Location :
Hong Kong
DOI :
10.1109/ICDSP.2014.6900677