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Sun P.,Tsinghua University | Tang J.,Tsinghua University | Tang B.,Electronic Engineering Institute of PLA
Qinghua Daxue Xuebao/Journal of Tsinghua University | Year: 2012

Multiple-input multiple-output (MIMO) radar needs accurate estimates of the range, angle and Doppler frequency. The iterative adaptive approach (IAA) algorithm can use a single snapshot to accurately estimate the parameters in MIMO radar. However, the IAA algorithm is quite complex for joint estimation of the range, angle and Doppler frequency. This paper presents a fast IAA algorithm that divides the estimation into cascaded estimates. The range is estimated first and then the angle is estimated in the range cells as existing IAA targets. Finally, the Doppler frequency is measured in the range-angle cells which contain targets using the results of the range and angle IAA. Simulations show that the fast IAA algorithm gives almost the performance as the original IAA with much less complexity. Source

Wang J.,Hefei University of Technology | Wang S.,Electronic Engineering Institute of PLA
Lecture Notes in Electrical Engineering | Year: 2013

This paper extends the existing models to the case where the random demand depending on advertising expenditure and selling price follows the additive form. The retailer's optimal ordering, pricing and advertising decision model and the manufacturer's optimal production decision model are respectively developed, and the closed-form solution to each model is provided as well. Moreover, we explore the effect of different forms of demand function (i.e., multiplicative form and additive form) on the decisions of the supply chain members. Our analysis suggests that the multiplicative form fits for depicting the demand of the branded products while the additive form is appropriate for the new or low brand recognition products. Finally, we implement a numerical study to illustrate the models. © 2013 Springer-Verlag. Source

Zhang Y.,Electronic Engineering Institute of PLA | Yang X.-J.,Electronic Engineering Institute of PLA
Binggong Xuebao/Acta Armamentarii | Year: 2013

A method is proposed to recognize the frame synchronization codes of the sequence intercepted by non-cooperative part. This method is to use a small area detection algorithm to estimate the frame length, then use the secondary filter to judge the start bit of frame, and finally use the fuzzy matching algorithm to recognize the frame synchronization code. The simulation result shows that, if the bit error rate (BER) is less than 4%, the proposed method can achieve a high recognition probability for the frame synchronization code of synchronized data frames, where the recognition probabilities for the Barker codes and m-sequences are 80% and 78%, respectively. Source

Liu J.-C.,Electronic Engineering Institute of PLA | Yang X.-J.,Electronic Engineering Institute of PLA
Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology | Year: 2012

In view of the fast development of information countermeasure and intelligent communication, recognition of channel coding has been a vital issue in information interception. This paper proposes a new method of recognition in order to recognize the (n,1,m) convolutional codes. Firstly, this method defines the notion of check-sequence, and solves it by an advanced model of matrix, then deduces the matrix of generator polynomial, having recognized the convolutional code, by check-sequence. Finally, examples of simulation show that this method is able to recognize, neither knowing the parameter of code n nor the begin location of coding, all (n,1,m) convolutional codes effectively. Source

Wang J.,Hefei University of Technology | Wang S.,Electronic Engineering Institute of PLA | Min J.,Anhui University
International Journal of Systems Science | Year: 2015

In this paper, we study the optimal two-stage advertising and ordering policies and the channel coordination issues in a supply chain composed of one manufacturer and one retailer. The manufacturer sells a short-life-cycle product through the retailer facing stochastic demand in dynamic markets characterised by price declines and product obsolescence. Following a two-period newsvendor framework, we develop two members optimal ordering and advertising models under both the centralised and decentralised settings, and present the closed-form solutions to the developed models as well. Moreover, we design a two-period revenue-sharing contract, and develop sufficient conditions such that the channel coordination can be achieved and a win-win outcome can be guaranteed. Our analysis suggests that the centralised decision creates an incentive for the retailer to increase the advertising investments in two periods and put the purchase forward, but the decentralised decision mechanism forces the retailer to decrease the advertising investments in two periods and postpone/reduce its purchase in the first period. This phenomenon becomes more evident when demand variability is high. © 2013 Taylor and Francis. Source

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