Poles Extraction of Radar Target Based on Narrowband Frequency Response Approximation

Pole is the most important feature of radar target in resonance region, and it is attitude insensitive. The poles extraction requires UWB (ultra-wideband) late-time response signal or frequency response data, which is difficult to achieve through general equipment. This paper proposed a method for extracting poles from narrowband data. At first, the frequency response equation of the resonance region was derived. Then, the equation parameters were solved by the interior point method through the narrowband data. At last, the zeros of the transfer function denominator were calculated. FEKO simulation data test verifies that the method has extrapolation ability

Poles Extraction of Radar Target Based on Narrowband Frequency Response Approximation

Pole is the most important feature of radar target in resonance region, and it is attitude insensitive. The poles extraction requires UWB (ultra-wideband) late-time response signal or frequency response data, which is difficult to achieve through general equipment. This paper proposed a method for extracting poles from narrowband data. At first, the frequency response equation of the resonance region was derived. Then, the equation parameters were solved by the interior point method through the narrowband data. At last, the zeros of the transfer function denominator were calculated. FEKO simulation data test verifies that the method has extrapolation ability

DataSheet_1_Association between increased BMI and cognitive function in first-episode drug-naïve male schizophrenia.docx

ObjectiveAlthough the adverse effects of obesity in schizophrenia are documented, there is limited research exists on the implications for untreated initial schizophrenia. Our investigation aimed to explore the connections between BMI and cognitive function in first-episode drug-naïve (FEDN)schizophrenia.MethodsWe enrolled 143 FEDN schizophrenia patients, and collected data on their body mass index, fasting blood glucose and lipid levels. Cognitive function was measured with the MATRICS Consensus Cognitive Battery (MCCB). Using correlation and regression analysis to assess the relationship between BMI and cognitive performance.ResultsThe prevalence rate of overweight plus obesity in FEDN schizophrenia patients was 33.57%. Patients with FEDN schizophrenia exhibited extensive cognitive impairment, and those who were overweight/obesity demonstrated more severe impairments in working memory and visual learning when compared to normal/under weight counterparts. Correlation analysis indicated a negative association between working memory and BMI and TG, as well as a link between visual learning and BMI and LDL-C. Multiple linear regression analysis revealed that a higher BMI predicted a decrease in working memory in FEDN schizophrenia patients.ConclusionOur results indicate that the rate of overweight plus obesity is high in FEDN schizophrenia patients, and there is an association between BMI and cognitive function in schizophrenia, particularly in relation to working memory.</p