CAJ | 학술논문

针对互功率谱相位（CSP）法在低信噪比环境下，时延估计精度下降这一问题，提出了一种改进的CSP方法。研究了传统的CSP法，分析了语音信号能量在总能量中的比例问题，为保证强噪声环境下，语音信号不被淹没，定义了一个随信噪比变化的非线性参量，通过该非线性参量调节加权函数的大小，进而减小噪声的影响，提高算法的抗噪性能。采用8个线性阵列麦克风采集语音信号，在Matlab平台上，就传统的CSP算法，SCOT算法，改进CSP算法，在高信噪比和低信噪比环境下进行仿真验证，仿真结果表明，改进的CSP方法在强噪声环境下具有更好的定位性能。
침대호공솔보상위（CSP）법재저신조비배경하，시연고계정도하강저일문제，제출료일충개진적CSP방법。연구료전통적CSP법，분석료어음신호능량재총능량중적비례문제，위보증강조성배경하，어음신호불피엄몰，정의료일개수신조비변화적비선성삼량，통과해비선성삼량조절가권함수적대소，진이감소조성적영향，제고산법적항조성능。채용8개선성진렬맥극풍채집어음신호，재Matlab평태상，취전통적CSP산법，SCOT산법，개진CSP산법，재고신조비화저신조비배경하진행방진험증，방진결과표명，개진적CSP방법재강조성배경하구유경호적정위성능。
Aiming at low SNR of delay estimation of traditional Cross-power Spectrum Phase (CSP) method in the strong noise environment, an improved CSP method to solve this problem is proposed in this paper. The traditional method of CSP is studied and the speech signal energy on the ratio of total energy is analyzed. In order that the speech signal is not drowned in the strong noise environment, a nonlinear parameter changing with Signal to Noise Ratio(SNR)is defined. By adjusting the non-linear parameter to control the size of weighting function, thereby reducing the influence of noise, the anti-noise performance of the algorithm is improved. Three methods of time-delay estimation are compared on matlab platform by using eight linear array microphone voice signal acquisition in different SNR environments, and simulation results show that the improved CSP method has better positioning performance than traditional CSP and SCOT method in the strong noise environment.